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USING DATA TO
READ YOUR
CUSTOMERS’
MIND
BY PROMPTCLOUD
HOW?
The best way to read your
customers’ mind is by using
the technique called
sentiment analysis.
WHAT IS SENTIMENT ANALYSIS?
Sentiment analysis is the
process of computationally
identifying and categorizing
opinions expressed in a
piece of text, especially in
order to determine whether
the writer's attitude towards
a particular topic, product,
etc., is positive, negative, or
neutral.
WHAT DATA CAN YOU USE?
 SOCIAL MEDIA POSTS
 ECOMMERCE PRODUCT REVIEWS
 FORUM POSTS
 BLOGS
 OTHER MISCELLANEOUS DATA
STEPS INVOLVED IN SENTIMENT ANALYSIS
These are the basic steps involved in sentiment
analysis.
DEFINING SOURCES
 Avoid sites that discourage bots
 Look for a clean design and navigation
 Look for freshness of the site
 Avoid sites with too many broken links
Defining the data sources is the first and foremost
step which is crucial to the effectiveness of the
sentiment analysis. Here are some tips for finding
the right sources:
DATA ACQUISITION
Using web scraping to acquire data for sentiment
analysis is cost effective and comes with many
different advantages. Here is how web scraping
works.
DATA SOURCES WEB CRAWLING SETUP CLEAN, STRUCTURED DATA
DATA POINTS
SOURCESPost URLs
No. of
Likes
Post
content
Hashtags
Usernames
These are the common data points you should
look for while scraping:
DATA ANALYSIS
Analysing the acquired data using a
customized data analytics system is the
final step in sentiment analysis. This
system should be able to analyse the data
and generate one of the three emotions
for every record of data:
 Positive
 Neutral
 Negative
BENEFITS OF SENTIMENT ANALYSIS
 KNOW WHAT THE CUSTOMERS WANT
 MONITOR CHANGES OF OPINIONS OVER TIME
 LOWER COST
 IDENTIFY SOURCES OF GENUINE FEEDBACK
 IMPROVE OPERATIONS EFICIENCY
Got questions? Feel free
to bug us at:
www.promptcloud.com
Email: sales@promptcloud.com

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Using Data to Read your Customers' Mind

  • 1. USING DATA TO READ YOUR CUSTOMERS’ MIND BY PROMPTCLOUD
  • 2. HOW? The best way to read your customers’ mind is by using the technique called sentiment analysis.
  • 3. WHAT IS SENTIMENT ANALYSIS? Sentiment analysis is the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc., is positive, negative, or neutral.
  • 4. WHAT DATA CAN YOU USE?  SOCIAL MEDIA POSTS  ECOMMERCE PRODUCT REVIEWS  FORUM POSTS  BLOGS  OTHER MISCELLANEOUS DATA
  • 5. STEPS INVOLVED IN SENTIMENT ANALYSIS These are the basic steps involved in sentiment analysis.
  • 6. DEFINING SOURCES  Avoid sites that discourage bots  Look for a clean design and navigation  Look for freshness of the site  Avoid sites with too many broken links Defining the data sources is the first and foremost step which is crucial to the effectiveness of the sentiment analysis. Here are some tips for finding the right sources:
  • 7. DATA ACQUISITION Using web scraping to acquire data for sentiment analysis is cost effective and comes with many different advantages. Here is how web scraping works. DATA SOURCES WEB CRAWLING SETUP CLEAN, STRUCTURED DATA
  • 8. DATA POINTS SOURCESPost URLs No. of Likes Post content Hashtags Usernames These are the common data points you should look for while scraping:
  • 9. DATA ANALYSIS Analysing the acquired data using a customized data analytics system is the final step in sentiment analysis. This system should be able to analyse the data and generate one of the three emotions for every record of data:  Positive  Neutral  Negative
  • 10. BENEFITS OF SENTIMENT ANALYSIS  KNOW WHAT THE CUSTOMERS WANT  MONITOR CHANGES OF OPINIONS OVER TIME  LOWER COST  IDENTIFY SOURCES OF GENUINE FEEDBACK  IMPROVE OPERATIONS EFICIENCY
  • 11. Got questions? Feel free to bug us at: www.promptcloud.com Email: sales@promptcloud.com