Summary : Analysing Digital Banking Reviews Using Text Mining IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2020 Li Chen Cheng.
+ Paper implimentation code
Mini-Case Study Closing Projects at Global Green Books Pu.docxaltheaboyer
Mini-Case Study: Closing Projects at Global Green Books Publishing
Global Green Books Publishing is continuing to grow. The customized eBooks line of work is
continuing to grow, and they now have a lot of experience from the eBook projects that they
have completed for their first eBook customer, a local college, and for their newer customers.
However, as new projects come in and start to run into problems, some of the project managers
in the project management office and their manager, Samantha, were discussing how it seems
like it is déjà vu all over again – some of the same problems that they thought they had solved in
working with supervisors and their teams on past projects keep on occurring.
The eBook projects are functioning well, and customers are happy with the results. Repeat
orders are coming in and new customers are turning to Global Green Books for their eBook
production needs.
But, there are just some problems that seem to keep popping up. One of the project managers
even described dealing with these problems as being like playing the popular arcade game of
“Whack-a-Mole” - as soon as you deal with one to make it disappear, the same one or another
one just pops up. It seems like a never-ending struggle to try and solve some of these
problems, especially when some seem like they were already solved on another earlier project.
In the PM handbook that Samantha had implemented, when projects completed the supervisors
finished tracking all of the actual effort and costs and turned that information over to cost
accounting for billing purposes. As Samantha and colleagues implemented the project
management office, they modified the PM manual to have a copy of this information also shared
with the project management office. They have found this information to be sometimes useful
as historical data to help develop estimates for new projects as requests for new eBooks come
in from their customers.
The PMO team was discussing making changes to the PM manual and holding a short training
for supervisors to implement some improvements to their project completion processes. They
wanted to change their standard job template to incorporate these additions:
a planned task for supervisors to close out the project,
a task to create a lessons learned report, and
an optional task for a closing celebration for the team to mark the end of the project,
They felt that it was important that the PMO start capturing lessons learned. These could be
collated by the supervisors at the end of the project, or they could encourage supervisors to
plan, schedule and hold a project closing meeting with their team members to thank the team
members and to collect lessons learned from all of the team. They could also invite feedback or
participation from the relevant Customer Service Representatives and account managers.
The PMO received management approval for these changes, upda ...
Customers Satisfaction on the Retail Banking Sector in Bangladesh: A Case Stu...Dr. Amarjeet Singh
This document analyzes customer satisfaction with retail banking services at City Bank Limited in Bangladesh. It conducts a case study through a survey of 50 City Bank customers to measure their expectations and satisfaction levels. The survey finds that customers are generally satisfied with reliability but less satisfied with accessibility, fees, and ATM services. To improve satisfaction, the bank should focus on expanding its branch network, simplifying the account opening process, improving ATM availability and reducing transaction fees. The study aims to help City Bank enhance its customer service and better meet customer needs.
Things to Consider for Improvement of Usability of E-Commerce in Context of B...Umma Khatuna Jannat
This document discusses improving the usability of e-commerce websites in Bangladesh. It outlines research objectives to identify usability challenges and factors to increase e-commerce development. The methodology involves surveys and usability testing of popular Bangladeshi e-commerce sites to identify problems like long registration pages and lack of accessibility. The expected outcomes are revealing critical adoption aspects and how usability affects social attention and identifying research gaps.
Internet Banking in Social Media - Replise Mind Radar Replise.com
Mind Radar
Mind Radar is mostly qualitative study to collect and structure all issues and their diverse angles of perception around a brand or theme within the online community. The Mind Radar study not only situates the brand in the social media discourse, helping you to craft engaging social media messages, but also helps you structure the discourse into meaningful aspects. The study explores and analyses the key currents and undercurrents of the social media discourse and draws out the movers or barriers of a decision.
By downloading this study you received a report, which maps consumer insights and attitudes towards internet banking. It analyses habits, expectations, improvement ideas, and issues discussed by consumers.
The report’s goal is to support marketing and product improvements and helps to set services and products to customer needs. This research is based on data gathered by Replise within a three month time period, coded by the aim of the report and analysed by the analyst team.
About Replise
The Social Intelligence Company Founded 2010 in Hungary by serial entrepreneurs. Replise provides social research services in more than 40 languages and operates offices in Germany, UK, Poland and Hungary. Focusing on social research using proven market research methodologies, Replise has established partnerships with classic market research firms. Replise’s services are based on the combination of a unique high-end social analytics platform and a team of qualified analysts with years of market expertise. We can provide access to historical as well as real time data from blogs, forums, news portals, video platforms and social networks like Twitter and Facebook. Replise products and services are used by well-known brands and many marketing and PR agencies across Europe.
User stories collection via interactive chatbot to support requirements gathe...TELKOMNIKA JOURNAL
Nowadays, software products have become an essential part of human life. To build software, developers must have a good understanding of the requirements of the software. However, software developers tend to jumpstart system construction without having a clear and detailed understanding of the requirements. The user story concept is one of the practices of the requirements elicitation. This paper aims to present the work conducted to develop an Android chatbot application to support the requirements elicitation activity in software engineering, making the work less time-consuming and structured even for users not accustomed to requirements engineering. The chatbot uses Nazief & Adriani stemming algorithm to pre-process the natural language it receives from the users and artificial mark-up language (AIML) as the knowledge base to process the bot’s responses. A preliminary acceptance test based on the technology acceptance model results in an 83.03% score for users’ behavioral intention to use.
It’s clear how Incumbent banks are met with unprecedented market forces. Fintech and neobanks—new financial players that offer more and more exciting financial products—are eating up banking market shares. Meanwhile, the growing use of alternative payments such as PayPal, Samsung Pay, Apple Pay, and so on points to the fact that customers are finding traditional banks inconvenient and untrustworthy. At the same time, people are walking away from physical branches; instead preferring mobile banking for ease and convenience, according to a recent report by Backbase. On top of that, the government continues to encourage Digital Banking, made apparent by the government’s recent directives. These factors may sound like twists and turns that took traditional banks by surprise, yet they point to the refusal to change and innovate in the face of digital disruption. Now that change becomes a matter of life and death for banks, there’s an evident need for a shift in mindset and principle called Design Thinking. This paper looks over the relevance and application of Design Thinking in the banking sector. You will also get to explore how some current banks are applying this method. The promise of Design Thinking for banks proves beyond doubt. Now let’s dive in.
IRJET- Physical Design of Approximate Multiplier for Area and Power EfficiencyIRJET Journal
This document summarizes research on using statistical measures and machine learning techniques to perform sentiment analysis on product reviews. The researchers collected product review data from online sources and analyzed the sentiment and opinions expressed in the text using support vector machine classifiers. They classified reviews as positive or negative and analyzed key product features that were discussed. The results demonstrated that statistical sentiment analysis can help companies better understand customer feedback and identify popular product versions or attributes. Several related works applying techniques like naive Bayes, lexicon-based methods and aspect-based sentiment analysis on reviews from domains like movies, hotels and restaurants are also summarized.
A Study on Role of Technology in Banking Sectorijtsrd
The purpose of this study is to examine the relationship between new technology implementation in banking sector and customers How they are aware about the technologies and how they are using it Data for this study was collected from the customers of various Banking Sectors under the Reserve Bank of India A simple percentage analysis and pie chart will be done According to questioners 30 samples are collected and interpretations are given Findings suggest that most of the customers of bank using ATM facility So the banks need to give awareness about the E-banking services Lastly, the paper is of few papers that focus on technology development in banking industry Aswin Raj. T | Mr. Bala Nageshwara Rao "A Study on Role of Technology in Banking Sector" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18357.pdf
Mini-Case Study Closing Projects at Global Green Books Pu.docxaltheaboyer
Mini-Case Study: Closing Projects at Global Green Books Publishing
Global Green Books Publishing is continuing to grow. The customized eBooks line of work is
continuing to grow, and they now have a lot of experience from the eBook projects that they
have completed for their first eBook customer, a local college, and for their newer customers.
However, as new projects come in and start to run into problems, some of the project managers
in the project management office and their manager, Samantha, were discussing how it seems
like it is déjà vu all over again – some of the same problems that they thought they had solved in
working with supervisors and their teams on past projects keep on occurring.
The eBook projects are functioning well, and customers are happy with the results. Repeat
orders are coming in and new customers are turning to Global Green Books for their eBook
production needs.
But, there are just some problems that seem to keep popping up. One of the project managers
even described dealing with these problems as being like playing the popular arcade game of
“Whack-a-Mole” - as soon as you deal with one to make it disappear, the same one or another
one just pops up. It seems like a never-ending struggle to try and solve some of these
problems, especially when some seem like they were already solved on another earlier project.
In the PM handbook that Samantha had implemented, when projects completed the supervisors
finished tracking all of the actual effort and costs and turned that information over to cost
accounting for billing purposes. As Samantha and colleagues implemented the project
management office, they modified the PM manual to have a copy of this information also shared
with the project management office. They have found this information to be sometimes useful
as historical data to help develop estimates for new projects as requests for new eBooks come
in from their customers.
The PMO team was discussing making changes to the PM manual and holding a short training
for supervisors to implement some improvements to their project completion processes. They
wanted to change their standard job template to incorporate these additions:
a planned task for supervisors to close out the project,
a task to create a lessons learned report, and
an optional task for a closing celebration for the team to mark the end of the project,
They felt that it was important that the PMO start capturing lessons learned. These could be
collated by the supervisors at the end of the project, or they could encourage supervisors to
plan, schedule and hold a project closing meeting with their team members to thank the team
members and to collect lessons learned from all of the team. They could also invite feedback or
participation from the relevant Customer Service Representatives and account managers.
The PMO received management approval for these changes, upda ...
Customers Satisfaction on the Retail Banking Sector in Bangladesh: A Case Stu...Dr. Amarjeet Singh
This document analyzes customer satisfaction with retail banking services at City Bank Limited in Bangladesh. It conducts a case study through a survey of 50 City Bank customers to measure their expectations and satisfaction levels. The survey finds that customers are generally satisfied with reliability but less satisfied with accessibility, fees, and ATM services. To improve satisfaction, the bank should focus on expanding its branch network, simplifying the account opening process, improving ATM availability and reducing transaction fees. The study aims to help City Bank enhance its customer service and better meet customer needs.
Things to Consider for Improvement of Usability of E-Commerce in Context of B...Umma Khatuna Jannat
This document discusses improving the usability of e-commerce websites in Bangladesh. It outlines research objectives to identify usability challenges and factors to increase e-commerce development. The methodology involves surveys and usability testing of popular Bangladeshi e-commerce sites to identify problems like long registration pages and lack of accessibility. The expected outcomes are revealing critical adoption aspects and how usability affects social attention and identifying research gaps.
Internet Banking in Social Media - Replise Mind Radar Replise.com
Mind Radar
Mind Radar is mostly qualitative study to collect and structure all issues and their diverse angles of perception around a brand or theme within the online community. The Mind Radar study not only situates the brand in the social media discourse, helping you to craft engaging social media messages, but also helps you structure the discourse into meaningful aspects. The study explores and analyses the key currents and undercurrents of the social media discourse and draws out the movers or barriers of a decision.
By downloading this study you received a report, which maps consumer insights and attitudes towards internet banking. It analyses habits, expectations, improvement ideas, and issues discussed by consumers.
The report’s goal is to support marketing and product improvements and helps to set services and products to customer needs. This research is based on data gathered by Replise within a three month time period, coded by the aim of the report and analysed by the analyst team.
About Replise
The Social Intelligence Company Founded 2010 in Hungary by serial entrepreneurs. Replise provides social research services in more than 40 languages and operates offices in Germany, UK, Poland and Hungary. Focusing on social research using proven market research methodologies, Replise has established partnerships with classic market research firms. Replise’s services are based on the combination of a unique high-end social analytics platform and a team of qualified analysts with years of market expertise. We can provide access to historical as well as real time data from blogs, forums, news portals, video platforms and social networks like Twitter and Facebook. Replise products and services are used by well-known brands and many marketing and PR agencies across Europe.
User stories collection via interactive chatbot to support requirements gathe...TELKOMNIKA JOURNAL
Nowadays, software products have become an essential part of human life. To build software, developers must have a good understanding of the requirements of the software. However, software developers tend to jumpstart system construction without having a clear and detailed understanding of the requirements. The user story concept is one of the practices of the requirements elicitation. This paper aims to present the work conducted to develop an Android chatbot application to support the requirements elicitation activity in software engineering, making the work less time-consuming and structured even for users not accustomed to requirements engineering. The chatbot uses Nazief & Adriani stemming algorithm to pre-process the natural language it receives from the users and artificial mark-up language (AIML) as the knowledge base to process the bot’s responses. A preliminary acceptance test based on the technology acceptance model results in an 83.03% score for users’ behavioral intention to use.
It’s clear how Incumbent banks are met with unprecedented market forces. Fintech and neobanks—new financial players that offer more and more exciting financial products—are eating up banking market shares. Meanwhile, the growing use of alternative payments such as PayPal, Samsung Pay, Apple Pay, and so on points to the fact that customers are finding traditional banks inconvenient and untrustworthy. At the same time, people are walking away from physical branches; instead preferring mobile banking for ease and convenience, according to a recent report by Backbase. On top of that, the government continues to encourage Digital Banking, made apparent by the government’s recent directives. These factors may sound like twists and turns that took traditional banks by surprise, yet they point to the refusal to change and innovate in the face of digital disruption. Now that change becomes a matter of life and death for banks, there’s an evident need for a shift in mindset and principle called Design Thinking. This paper looks over the relevance and application of Design Thinking in the banking sector. You will also get to explore how some current banks are applying this method. The promise of Design Thinking for banks proves beyond doubt. Now let’s dive in.
IRJET- Physical Design of Approximate Multiplier for Area and Power EfficiencyIRJET Journal
This document summarizes research on using statistical measures and machine learning techniques to perform sentiment analysis on product reviews. The researchers collected product review data from online sources and analyzed the sentiment and opinions expressed in the text using support vector machine classifiers. They classified reviews as positive or negative and analyzed key product features that were discussed. The results demonstrated that statistical sentiment analysis can help companies better understand customer feedback and identify popular product versions or attributes. Several related works applying techniques like naive Bayes, lexicon-based methods and aspect-based sentiment analysis on reviews from domains like movies, hotels and restaurants are also summarized.
A Study on Role of Technology in Banking Sectorijtsrd
The purpose of this study is to examine the relationship between new technology implementation in banking sector and customers How they are aware about the technologies and how they are using it Data for this study was collected from the customers of various Banking Sectors under the Reserve Bank of India A simple percentage analysis and pie chart will be done According to questioners 30 samples are collected and interpretations are given Findings suggest that most of the customers of bank using ATM facility So the banks need to give awareness about the E-banking services Lastly, the paper is of few papers that focus on technology development in banking industry Aswin Raj. T | Mr. Bala Nageshwara Rao "A Study on Role of Technology in Banking Sector" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18357.pdf
How is AI improving customer experience in Retail?Juliana Vectore
This document provides an overview of an MBA project examining how AI is improving the customer experience in retail. It includes definitions of AI, a mapping of key AI technologies and applications in retail, an assessment of the applications' benefits and maturity levels, and benchmarks of AI adoption by retailers Alibaba, Walmart and Sephora. The project finds that AI has significant potential to enhance the customer experience, especially in e-commerce, and that retailers' investment priorities are driven by their goals of providing unique experiences or value.
IRJET- Opinion Mining from Customer Reviews for Predicting CompetitorsIRJET Journal
This document discusses a research project that aims to predict competitors of a product by analyzing customer reviews from Amazon. The project involves gathering reviews from Amazon for a particular product, then performing sentiment analysis to classify the reviews as positive or negative. A pie chart is generated to show the percentage of positive and negative reviews. The competitors of the product are then predicted based on the sentiment analysis of the reviews. The document provides background on opinion mining and sentiment analysis, as well as challenges in the field and a review of related literature. It outlines the system flow of the project, which involves extracting reviews from Amazon, preprocessing and analyzing the text, classifying reviews as positive or negative, and finally predicting competitors.
A Study on Factors of E Banking Challenges in Indiaijtsrd
The customer uses the banking services through online banking, mobile phone banking and automated teller machine these were are called as 'E Banking. This study aimed to describe the customer view about the banking services through E banking. Customer service is also a part of the banking, this paper will tell about the customer satisfaction level about the e banking will explain through the pilot study. Dr. S. Saravanan | M. Dharani "A Study on Factors of E-Banking Challenges in India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31147.pdf Paper Url :https://www.ijtsrd.com/management/accounting-and-finance/31147/a-study-on-factors-of-ebanking-challenges-in-india/dr-s-saravanan
Essay On Importance Of Reading Habits. Online assignment writing service.Diana Jordan
The document discusses the themes of friendship and war in the novel A Separate Peace by John Knowles. It provides examples of how the friendship between the main characters Gene and Phineas changes and strains as their competitiveness and jealousy increases. Their friendship represents the inner war they experience with each other as Gene feels inferior to Phineas and wants to be more like him. The themes of friendship and inner war are crucial to understanding the story.
GetHelp UI Interface and Interaction Design Case StudySu Yuen Chin
This is a case study I wrote as a handout to accompany a presentation I gave about User Interface and Interaction Design. The presentation slides are at http://www.slideshare.net/suyuen/get-help-ui-and-interaction-design-presentation
A Personalized Assistant Framework for Service RecommendationPradeep K. Venkatesh
The document presents a personalized assistant framework for recommending services to users. The framework constructs a process knowledge base by mining information from online sources. It analyzes user goals to understand their intent and constraints. The framework interacts with users through dialog to obtain more details about their goals. It uses an AdaRank algorithm trained on user history to recommend questions to ask users. A case study evaluated the framework on helping 12 users find services for goals in e-commerce and travel. Results showed the framework outperformed baselines in recommending relevant questions. Analyzing feature importance identified user contexts as most important for performance. A user survey found participants agreed the framework was helpful for achieving goals.
A Two Stage Classification Model for Call Center Purchase PredictionTELKOMNIKA JOURNAL
In call center [1] product recommendation field, call center as an organization between users and telecom operator, doesn’t have permission to access users’ specific information and the detailed products information. Accordingly, rule-based selection method is common used to predict user purchase behavior by the call center. Unfortunately, rule-based approach not only ignores the user’s previous behavior information entirely, and it is difficult to make use of the existing interaction records between users and products. Consequently, it will not get desired results if we just use the basic selection method to predict user purchase behavior directly, because the problem is that the features straightly extracted from the interaction data records are limited. In order to solve the problem above, this paper proposes a two-stage algorithm that based on K-Means Clustering Algorithm [2] and SVM [3, 4] Classification Algorithm. Firstly, we get the potential category information of products by K-Means Clustering Algorithm, and then use SVM Classification Model to predict users purchasing behavior. This two-stage prediction model not only solves the feature shortage problem, but also gives full consideration to the potential features between users and product categories, which can help us to gain significant performance in call center product recommendation field.
Using machine learning to improve a telco self-service mobile application in ...IAESIJAI
The use of mobile applications extends to the telecommunication sector, mainly due to COVID-19. Failure to provide it can cause dissatisfaction and result in the removal of the mobile application. Moreover, this leads to lost service opportunities, so paying attention to the mobile application's quality is essential. There has yet to be a study on measuring the service quality of a self-service mobile application in the telecommunication sector using online customer reviews. This study uses sentiment analysis and topic modeling to determine the service quality of a self-service mobile application in the telecommunication sector from reviews on Google Play Store and Apple App Store. This study uses myIndiHome as a case study. The total data obtained from both platforms are 20,452 reviews. Sentiment analysis was performed using Naïve Bayes, support vector machine, and logistic regression, while topic modeling was performed using latent dirichlet allocation. The results show that logistic regression performs better than support vector machine and Naïve Bayes. Meanwhile, topic modeling shows that the positive review data has three topics, including application features, products/services, and application interfaces. Moreover, the negative review data has five topics, including application availability, application feature reliability, application processing speed, bugs, and application reliability.
This document provides details about the development of a mobile app called "Ghar Service" including:
- An overview of how the app functions and its key features for customers and service providers.
- Wireframes of the app's user interfaces for logging in, selecting services, payments, and an admin dashboard.
- Requirements for developing the app such as hardware, software, technical skills, estimated costs and time to completion.
This document provides an introduction to a study on customer service in the banking industry. It discusses the important role of banks in economic development and how customer satisfaction is critical to a bank's success. The objectives of the study are to understand customer perceptions of service quality, the types of banking services used, and customer satisfaction with services of ICICI Bank in Coimbatore City. The study uses surveys and statistical analysis to evaluate customer opinions and identify relationships between demographic factors and banking preferences and behaviors.
This document describes a proposed chatbot system for conducting job interviews. The chatbot would automate parts of the interview process to reduce costs and overcome issues like human bias or fatigue. It would verify candidates, ask questions to evaluate them, and generate results and rankings to aid in hiring decisions. The chatbot uses natural language processing, text-to-speech, and sentiment analysis techniques. Its goal is to select suitable candidates for jobs in a more efficient manner than traditional human interviews. The system is still being designed and could be improved in the future by expanding its capabilities.
Analysis of Factors Affecting the Customer’s Satisfaction with reference to A...iosrjce
This is an age of technology. Now, all types of organizations are adopting the modern technology
for providing efficient services to the customers. This study is an attempt to find out the significant factors that
affecting the customer‟s satisfaction in ATM (Automated Teller Machine) service in Dhaka city. The results of
reliability test, factor analysis, and regression analysis focuses that cost of services of ATM, ATM network,
security in transactions of ATM, location of ATM Centers, and maximum withdrawal limit per day are the most
vital factors in customers satisfaction of ATM services. Finally it is evident from the study; overall 62% of the
customers are satisfied by using ATM services in Dhaka city.
IRJET- E-Commerce Recommender System using Data Mining AlgorithmsIRJET Journal
This document summarizes a research paper that proposes improvements to recommender systems for e-commerce businesses. It addresses issues like limited product availability, new customers with no purchase history, and timeliness of data. The authors propose a hybrid algorithm using collaborative filtering to recommend limited products, and a random algorithm to recommend products to new customers based on other customers with similar interests. The system was developed using ASP.NET, C#, and SQL Server. Experimental results showed the approaches helped address cold start situations and provide personalized recommendations. The authors conclude the techniques can improve e-commerce business efficiency and effectiveness.
A Study on Customer Satisfaction of Mobile Wallet Services Provided by PaytmDr. Amarjeet Singh
In today – world, smart phone has become an
essential part of one’s daily life. Mobile users can nowadays
use their Smartphones to make money transactions or
payments by using applications installed in the phone. There
are several mobile wallets which provide these services.
Mobile wallets are digital versions of traditional wallets that
someone would carry in their pocket. They offer payment
services through which the individuals/business can receive
/send money via mobile devices. The present paper throws
light upon the customer satisfaction level towards the
ewallet services provided by paytm. It focusses on the
services provided by Paytm wallet and its satisfaction level.
Customer Satisfaction on Banking Services in Indian Growing Economy Nainital ...Dr. Amarjeet Singh
Finance is the energy of every business whether it is
profit making or loss-making business and finance are
required. Economy grows with the developing people of his
country. There is no way to grow the country economy
without financial growing of his resident peoples and banking
sector play a major role to provide financial services. Banks
play a major role in the growth of the economy by providing
their services. Customer satisfaction is essential for the future
growth of both bank and country economy growth also. This
study made to determine customer satisfaction level on
banking services. This study based on primary data. Primary
data collected through questionnaire. The questionnaire
collected from 50 peoples in Kumoun region specially in
Haldwani urban area. All types of people included in sample
collection Students, Employees, Self Employees, and retired
persons. To assess customer satisfaction used the pre-tested
five points Likert's scale test. On the basis of the analysis, it is
concluded that the customer service satisfaction level of banks
is 73.80%.Key Words: Customer satisfaction, Banking
services, Overall satisfaction.
This document discusses factors affecting individuals' adoption of mobile banking. It employs the Unified Theory of Acceptance and Use of Technology (UTAUT) model with age and gender as moderating effects to investigate what influences individuals to adopt mobile banking. The findings from this research can help banks design effective marketing campaigns and customize service options for specific customer segments in the context of electronic banking. While much research has been done on internet banking, relative few studies have explored mobile banking adoption, so more research is needed to understand what drives people to adopt mobile banking.
Factors affecting customer loyalty in telecom sector in indiaNicole Valerio
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Electronic Customer Relationship Management and Consumer Behaviour (A Study o...IJRTEMJOURNAL
The study focuses on electronic customer relationship management and consumer behavior with
special emphasis on diamond bank Plc. Retail financial services in all markets, including emerging markets, are
undergoing major transformation that is driven by change, deregulation and customer sophistication. Electronic
Customer service and specifically online customer relationship management in particular is crucial to attaining
a sustainable competitive advantage, in the market place. The main objective of the study is to examine the effect
of electronic customer relationship management on customer patronage. A survey design was adopted for the
study and one hundred and ninety copies of structured questionnaire were used as primary data collection
instrument which was distributed to customers of diamond bank in the study area. However, the postulated
hypotheses were tested by employing the Pearson product moment Correlation Coefficient (PPMCC) statistical
tool which was facilitated by the statistical packages for social sciences (SPSS). The study however showed that
a significant relationship exists between e-CRM and consumer behavior. Furthermore, it was found that amongst
the dimensions of e-CRM, e-commitment and e-satisfaction impacts more significantly on customer patronage.
The study therefore concludes that Nigerian money deposit banks should increase their electronic platform
strategies since they commensurably impact on their level of customer patronage. However, the study
recommended that the key to efficient performance of Nigeria banking industry is hinged on their ability to
identify, attract, retain and develop their customers better than competitors and could be achieved by improved
e-trust, e-commitment and e-satisfaction. Limitation and suggestion for further studies was given.
The document provides an overview and case studies of omnichannel banking initiatives at four financial institutions:
1) Central Bancompany's Business Analyzer tool which integrates data across channels to provide personalized customer service.
2) Standard Bank of South Africa's Guided Sales Workbench which provides customized sales prompts to agents across channels.
3) UMB Bank's advisory-based service model which uses data and analytics to engage customers through the most appropriate channel.
4) Westpac's digital platform which offers a consistent customer experience across all digital channels and devices.
The document provides details about a UX portfolio project for an app called Bookley. The summary is:
1) The project involved conducting user research through interviews and personas to understand skills sellers and buyers on the Bookley app. Competitive analysis was also performed to analyze usability.
2) Scenarios, user flows, and information architecture like sitemaps and card sorting were developed to map out the app's information structure and user flows.
3) Low-fidelity wireframes and interactive prototypes were created and tested with stakeholders and users.
4) The project improved the UX and usability of Bookley's 2.0 version through discovery, design, and testing iterations with
How is AI improving customer experience in Retail?Juliana Vectore
This document provides an overview of an MBA project examining how AI is improving the customer experience in retail. It includes definitions of AI, a mapping of key AI technologies and applications in retail, an assessment of the applications' benefits and maturity levels, and benchmarks of AI adoption by retailers Alibaba, Walmart and Sephora. The project finds that AI has significant potential to enhance the customer experience, especially in e-commerce, and that retailers' investment priorities are driven by their goals of providing unique experiences or value.
IRJET- Opinion Mining from Customer Reviews for Predicting CompetitorsIRJET Journal
This document discusses a research project that aims to predict competitors of a product by analyzing customer reviews from Amazon. The project involves gathering reviews from Amazon for a particular product, then performing sentiment analysis to classify the reviews as positive or negative. A pie chart is generated to show the percentage of positive and negative reviews. The competitors of the product are then predicted based on the sentiment analysis of the reviews. The document provides background on opinion mining and sentiment analysis, as well as challenges in the field and a review of related literature. It outlines the system flow of the project, which involves extracting reviews from Amazon, preprocessing and analyzing the text, classifying reviews as positive or negative, and finally predicting competitors.
A Study on Factors of E Banking Challenges in Indiaijtsrd
The customer uses the banking services through online banking, mobile phone banking and automated teller machine these were are called as 'E Banking. This study aimed to describe the customer view about the banking services through E banking. Customer service is also a part of the banking, this paper will tell about the customer satisfaction level about the e banking will explain through the pilot study. Dr. S. Saravanan | M. Dharani "A Study on Factors of E-Banking Challenges in India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31147.pdf Paper Url :https://www.ijtsrd.com/management/accounting-and-finance/31147/a-study-on-factors-of-ebanking-challenges-in-india/dr-s-saravanan
Essay On Importance Of Reading Habits. Online assignment writing service.Diana Jordan
The document discusses the themes of friendship and war in the novel A Separate Peace by John Knowles. It provides examples of how the friendship between the main characters Gene and Phineas changes and strains as their competitiveness and jealousy increases. Their friendship represents the inner war they experience with each other as Gene feels inferior to Phineas and wants to be more like him. The themes of friendship and inner war are crucial to understanding the story.
GetHelp UI Interface and Interaction Design Case StudySu Yuen Chin
This is a case study I wrote as a handout to accompany a presentation I gave about User Interface and Interaction Design. The presentation slides are at http://www.slideshare.net/suyuen/get-help-ui-and-interaction-design-presentation
A Personalized Assistant Framework for Service RecommendationPradeep K. Venkatesh
The document presents a personalized assistant framework for recommending services to users. The framework constructs a process knowledge base by mining information from online sources. It analyzes user goals to understand their intent and constraints. The framework interacts with users through dialog to obtain more details about their goals. It uses an AdaRank algorithm trained on user history to recommend questions to ask users. A case study evaluated the framework on helping 12 users find services for goals in e-commerce and travel. Results showed the framework outperformed baselines in recommending relevant questions. Analyzing feature importance identified user contexts as most important for performance. A user survey found participants agreed the framework was helpful for achieving goals.
A Two Stage Classification Model for Call Center Purchase PredictionTELKOMNIKA JOURNAL
In call center [1] product recommendation field, call center as an organization between users and telecom operator, doesn’t have permission to access users’ specific information and the detailed products information. Accordingly, rule-based selection method is common used to predict user purchase behavior by the call center. Unfortunately, rule-based approach not only ignores the user’s previous behavior information entirely, and it is difficult to make use of the existing interaction records between users and products. Consequently, it will not get desired results if we just use the basic selection method to predict user purchase behavior directly, because the problem is that the features straightly extracted from the interaction data records are limited. In order to solve the problem above, this paper proposes a two-stage algorithm that based on K-Means Clustering Algorithm [2] and SVM [3, 4] Classification Algorithm. Firstly, we get the potential category information of products by K-Means Clustering Algorithm, and then use SVM Classification Model to predict users purchasing behavior. This two-stage prediction model not only solves the feature shortage problem, but also gives full consideration to the potential features between users and product categories, which can help us to gain significant performance in call center product recommendation field.
Using machine learning to improve a telco self-service mobile application in ...IAESIJAI
The use of mobile applications extends to the telecommunication sector, mainly due to COVID-19. Failure to provide it can cause dissatisfaction and result in the removal of the mobile application. Moreover, this leads to lost service opportunities, so paying attention to the mobile application's quality is essential. There has yet to be a study on measuring the service quality of a self-service mobile application in the telecommunication sector using online customer reviews. This study uses sentiment analysis and topic modeling to determine the service quality of a self-service mobile application in the telecommunication sector from reviews on Google Play Store and Apple App Store. This study uses myIndiHome as a case study. The total data obtained from both platforms are 20,452 reviews. Sentiment analysis was performed using Naïve Bayes, support vector machine, and logistic regression, while topic modeling was performed using latent dirichlet allocation. The results show that logistic regression performs better than support vector machine and Naïve Bayes. Meanwhile, topic modeling shows that the positive review data has three topics, including application features, products/services, and application interfaces. Moreover, the negative review data has five topics, including application availability, application feature reliability, application processing speed, bugs, and application reliability.
This document provides details about the development of a mobile app called "Ghar Service" including:
- An overview of how the app functions and its key features for customers and service providers.
- Wireframes of the app's user interfaces for logging in, selecting services, payments, and an admin dashboard.
- Requirements for developing the app such as hardware, software, technical skills, estimated costs and time to completion.
This document provides an introduction to a study on customer service in the banking industry. It discusses the important role of banks in economic development and how customer satisfaction is critical to a bank's success. The objectives of the study are to understand customer perceptions of service quality, the types of banking services used, and customer satisfaction with services of ICICI Bank in Coimbatore City. The study uses surveys and statistical analysis to evaluate customer opinions and identify relationships between demographic factors and banking preferences and behaviors.
This document describes a proposed chatbot system for conducting job interviews. The chatbot would automate parts of the interview process to reduce costs and overcome issues like human bias or fatigue. It would verify candidates, ask questions to evaluate them, and generate results and rankings to aid in hiring decisions. The chatbot uses natural language processing, text-to-speech, and sentiment analysis techniques. Its goal is to select suitable candidates for jobs in a more efficient manner than traditional human interviews. The system is still being designed and could be improved in the future by expanding its capabilities.
Analysis of Factors Affecting the Customer’s Satisfaction with reference to A...iosrjce
This is an age of technology. Now, all types of organizations are adopting the modern technology
for providing efficient services to the customers. This study is an attempt to find out the significant factors that
affecting the customer‟s satisfaction in ATM (Automated Teller Machine) service in Dhaka city. The results of
reliability test, factor analysis, and regression analysis focuses that cost of services of ATM, ATM network,
security in transactions of ATM, location of ATM Centers, and maximum withdrawal limit per day are the most
vital factors in customers satisfaction of ATM services. Finally it is evident from the study; overall 62% of the
customers are satisfied by using ATM services in Dhaka city.
IRJET- E-Commerce Recommender System using Data Mining AlgorithmsIRJET Journal
This document summarizes a research paper that proposes improvements to recommender systems for e-commerce businesses. It addresses issues like limited product availability, new customers with no purchase history, and timeliness of data. The authors propose a hybrid algorithm using collaborative filtering to recommend limited products, and a random algorithm to recommend products to new customers based on other customers with similar interests. The system was developed using ASP.NET, C#, and SQL Server. Experimental results showed the approaches helped address cold start situations and provide personalized recommendations. The authors conclude the techniques can improve e-commerce business efficiency and effectiveness.
A Study on Customer Satisfaction of Mobile Wallet Services Provided by PaytmDr. Amarjeet Singh
In today – world, smart phone has become an
essential part of one’s daily life. Mobile users can nowadays
use their Smartphones to make money transactions or
payments by using applications installed in the phone. There
are several mobile wallets which provide these services.
Mobile wallets are digital versions of traditional wallets that
someone would carry in their pocket. They offer payment
services through which the individuals/business can receive
/send money via mobile devices. The present paper throws
light upon the customer satisfaction level towards the
ewallet services provided by paytm. It focusses on the
services provided by Paytm wallet and its satisfaction level.
Customer Satisfaction on Banking Services in Indian Growing Economy Nainital ...Dr. Amarjeet Singh
Finance is the energy of every business whether it is
profit making or loss-making business and finance are
required. Economy grows with the developing people of his
country. There is no way to grow the country economy
without financial growing of his resident peoples and banking
sector play a major role to provide financial services. Banks
play a major role in the growth of the economy by providing
their services. Customer satisfaction is essential for the future
growth of both bank and country economy growth also. This
study made to determine customer satisfaction level on
banking services. This study based on primary data. Primary
data collected through questionnaire. The questionnaire
collected from 50 peoples in Kumoun region specially in
Haldwani urban area. All types of people included in sample
collection Students, Employees, Self Employees, and retired
persons. To assess customer satisfaction used the pre-tested
five points Likert's scale test. On the basis of the analysis, it is
concluded that the customer service satisfaction level of banks
is 73.80%.Key Words: Customer satisfaction, Banking
services, Overall satisfaction.
This document discusses factors affecting individuals' adoption of mobile banking. It employs the Unified Theory of Acceptance and Use of Technology (UTAUT) model with age and gender as moderating effects to investigate what influences individuals to adopt mobile banking. The findings from this research can help banks design effective marketing campaigns and customize service options for specific customer segments in the context of electronic banking. While much research has been done on internet banking, relative few studies have explored mobile banking adoption, so more research is needed to understand what drives people to adopt mobile banking.
Factors affecting customer loyalty in telecom sector in indiaNicole Valerio
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Electronic Customer Relationship Management and Consumer Behaviour (A Study o...IJRTEMJOURNAL
The study focuses on electronic customer relationship management and consumer behavior with
special emphasis on diamond bank Plc. Retail financial services in all markets, including emerging markets, are
undergoing major transformation that is driven by change, deregulation and customer sophistication. Electronic
Customer service and specifically online customer relationship management in particular is crucial to attaining
a sustainable competitive advantage, in the market place. The main objective of the study is to examine the effect
of electronic customer relationship management on customer patronage. A survey design was adopted for the
study and one hundred and ninety copies of structured questionnaire were used as primary data collection
instrument which was distributed to customers of diamond bank in the study area. However, the postulated
hypotheses were tested by employing the Pearson product moment Correlation Coefficient (PPMCC) statistical
tool which was facilitated by the statistical packages for social sciences (SPSS). The study however showed that
a significant relationship exists between e-CRM and consumer behavior. Furthermore, it was found that amongst
the dimensions of e-CRM, e-commitment and e-satisfaction impacts more significantly on customer patronage.
The study therefore concludes that Nigerian money deposit banks should increase their electronic platform
strategies since they commensurably impact on their level of customer patronage. However, the study
recommended that the key to efficient performance of Nigeria banking industry is hinged on their ability to
identify, attract, retain and develop their customers better than competitors and could be achieved by improved
e-trust, e-commitment and e-satisfaction. Limitation and suggestion for further studies was given.
The document provides an overview and case studies of omnichannel banking initiatives at four financial institutions:
1) Central Bancompany's Business Analyzer tool which integrates data across channels to provide personalized customer service.
2) Standard Bank of South Africa's Guided Sales Workbench which provides customized sales prompts to agents across channels.
3) UMB Bank's advisory-based service model which uses data and analytics to engage customers through the most appropriate channel.
4) Westpac's digital platform which offers a consistent customer experience across all digital channels and devices.
The document provides details about a UX portfolio project for an app called Bookley. The summary is:
1) The project involved conducting user research through interviews and personas to understand skills sellers and buyers on the Bookley app. Competitive analysis was also performed to analyze usability.
2) Scenarios, user flows, and information architecture like sitemaps and card sorting were developed to map out the app's information structure and user flows.
3) Low-fidelity wireframes and interactive prototypes were created and tested with stakeholders and users.
4) The project improved the UX and usability of Bookley's 2.0 version through discovery, design, and testing iterations with
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
1. Analysing Digital Banking
Reviews Using
Text Mining
IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
2020
Li Chen Cheng and Legaspi Rhea Shannayne
Department of Information and Finance Management
National Taipei University of Technology Taipei, Taiwan
2. OUTLINE
PROBLEM
Prioritize features
Summary
METHODOLOGY
How to find Hidden
patterns in huge data
INTRODUCTION
Digital Banking
Why text Mining ?
01 02
04
Latent Allocation DLA
Association mining rules
SOLUTION
03
CONCLUSION
06
2
solution implementation
DEMO CODE
05
5. WhyTextMiNING?
01.
The feedback provided by the users usually reflect their
satisfaction on the application , and Satisfaction has a direct
impact on the user's loyalty (Wang et al, 2018).
Critical for companies to understand their market
7. Unstructured nature
Huge number
of user reviews
Some may not even provide
meaningful insights.
7
Researcher stated that the
emotional sentiment of the
user is only weakly correlated
to the app rating(2017).
9. Reveal which areas the digital
banking application can further optimize for
customer satisfaction and retention.
Maingoal
Consumer reviews
?
10. This Paper
10
Goal
Identify which features need to be prioritized and improved upon, so
they will be able to focus their efforts and better target their
strategies to meet customers' expectations.
What are users most concerned about?
Which features are viewed positively and which are viewed
negatively?
Research Questions
Not only about the satisfaction but also what topic should the Digital bank improve !
12. Topic Modeling
12
How can we label such a huge
amount of data if not manually?
Problem
Analyze a huge amount of data,
cluster them into similar groups,
and label each group.
Clustering documents
into topics
consists of a cluster
of words that often
occur together
It is based on the assumption that:
● A document is composed of several topics
● A topic is composed of a collection of words
13. Topic Modeling : Latent Dirichlet Allocation (LDA)
13
● Latent Dirichlet Allocation is a probabilistic method for Topic Modelling
● We have to choose the number of topics k that we want to ‘discover’ in our corpus
● The results then find these hidden topics, and give us the words that make up each
topic, in the form of a probability distribution over the vocabulary for each topic.
14. 14
Comment 1: "I am very happy with the bank's mobile
app, it is very convenient and easy to use."
Comment 2: "I am very disappointed with the bank's
customer service, they are not helpful at all."
Comment 3: "I find the bank's interest rates to be
very competitive and fair."
.
.
.
Topic 3: Interest rates
["mobile app", "convenient",
"user-friendly", "easy to use",
etc]
Topic 1: Mobile app
Topic 2: Customer service
Topic 1
% Topic 1
% Topic 2
15. Paper extracted Topics
15
["customer", "service", "poor","waste", "phone", "email" ]
● reveals that the usual contact methods of the
users are through phone and email.
● reveals that the application's customer service is
currently
unsatisfactory.
16. Association Analysis
16
Technique that is used to uncover the underlying relationships and
patterns in a dataset. It is used to identify the items or attributes that
are frequently co-occurring or associated in some way.
18. SUMMARY
18
1-First, this research applied LDA to pre-processed text
reviews to obtain the relevant topics .
2- Second, keywords are extracted from the text based on their
count frequency and labelled into specific digital banking
features.
3- The reviews are then divided into two clusters based
on the current review rating ("positive" and "negative") and
association rule mining is applied to determine the
relationship between the above-mentioned features and the
given rating.
LDA +Association mining
uncover the underlying
topics present in a corpus
find patterns and relationships within
the topics identified by LDA.
presented at the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) , and it is a conference that focuses on research related to social networks analysis and mining.
igital banks are banks that operate primarily online, offering banking services to customers through digital channels such as mobile apps, online portals
They also often have more flexible account opening processes, such as the ability to open an account entirely online
With the advent of the internet and social media,
information has become more widespread and easier to access.
Now what are the problem with customer reviews ?
Generate base lear
which proves that the app
rating is not an accurate representation of the customers'
sentiment.
obtain valuable knowledge
that was initially unrevealed in online reviews.
based on
so it’s not only about sentiment analysis , it’s take the reviews and based on them they extract what topic are users concerned about (is the online accounting , the mony ..) and are they satisfied with it or not.
okay they will understand the sentiment (the satisfaction ) but what topic should the digal bank improve ?
obtain valuable knowledge
that was initially unrevealed in online reviews.
https://moj-analytical-services.github.io/NLP-guidance/LDA.html
https://aiinarabic.com/latent-dirichlet-allocation-algorithm-using-python/
topic can be described as a collection of words, like [‘ball’, ‘cat’, ‘house’] and [‘airplane’, ‘clouds’], but in practice, what an algorithm does is assign each word in our vocabulary a ‘participation’ value in a given topic. The words with the highest values can be considered as the true participants of a topic.
https://moj-analytical-services.github.io/NLP-guidance/LDA.html
https://aiinarabic.com/latent-dirichlet-allocation-algorithm-using-python/
words that present each topic
https://www.linkedin.com/pulse/topic-modeling-using-latent-dirichlet-allocation-saket-khare-frm
Each topic would be represented by a set of words that are likely to be semantically related. represented by words such as "mobile app", "convenient", "user-friendly", "easy to use", etc.
The model assigns a probability to each word within a topic and also assigns a probability to each topic in the document.
LDA to, and then use association rule mining to find patterns and relationships within the topics identified by LDA.