Unlocking the Power of Social Media Using Cloud Computing

1. Welcome to the
Chandigarh

2. Unlocking the Power of Social
Media Using Cloud Computing
Dr. Manisha Malhotra | Jasjit Chopra

3. DR. MANISHA
MALHOTRA
My twitter is @Dr_MM1910, proud to be a researcher
ASSOCIATE PROFESSOR | CHANDIGARH UNIVERSITY

4. JASJIT
CHOPRA
My twitter is @JasjitChopra, I’m super friendly & always ready to help
CLOUD SOLUTIONS ARCHITECT | AZURE MVP

5. AGENDA
• Why social media analytics?
• Live Demo to create a Blob Storage.
• Live Demo to create a Logic App
• Store data in blob storage
• Show data in Power BI
• Apply Sentiment analysis

6. Importance of Social Media Analytics
• They help you understand your audience
• They show you what your best social networks are
• Social data can help you create better content
• Help you Understand competitors
• Social metrics can help you create a better strategy
• Social media analytics shows you how a social media campaign is
performing

7. Azure Sentiment Analysis with Logic Apps and Function
Apps

8. DEMO

9. Who wants a goodie?
Internally - 2008
Public – 1 Feb 2010
Which year was Azure launched for public use?

10. Text Analytics
The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text,
and includes four main functions:
Sentiment analysis
It is use to find out what
customers think of your brand
or topic by analyzing raw text
for clues about positive or
negative sentiment. This API
returns a sentiment score
between 0 and 1 for each
document, where 1 is the most
positive.
Key phrase extraction
It is use to quickly identify the
main points. For example, for
the input text "The food was
delicious and there were
wonderful staff", the API
returns the main talking points:
"food" and "wonderful staff".
Language detection
You can detect which
language the input text is
written in and report a single
language code for every
document submitted on the
request for up to 120
languages. The language
code is paired with a score
indicating the strength of the
score.
Entity recognition
Identify and categorize
entities in your text as people,
places, organizations,
date/time, quantities,
percentages, currencies, and
more. Well-known entities are
also recognized and linked to
more information on the web.

20. Who wants a goodie?
Cognitive Services
Name the service used for analyzing tweets in the demo?

28. For Testing

29. A BIG thank you to the 2019 Global Sponsors!

30. Another BIG thank you to local sponsors!