sentimental analysis .

1. Emotion
Detection on
Twitter Data

2. PRN No:220380728003
PRN No:22380728001
Aditya sharma Pallavi Sonawane
Presented By
Niranjan Kumar
PRN No:220380728004

3. “Emotion recognition is the core component of modern Artificial
Intelligence. The objective is to capture both the self-emotional
traits and the others-emotional traits.
”

4. Introduction
Many microblogging sites have millions of people sharing their thoughts daily.
We propose and investigate the sentiment from a popular real-time microblogging
service, Twitter, where real-time reactions are posted by the user and we find their
opinions on almost “everything”. Social networking sites like Twitter, Facebook,
Instagram, Orkut etc. are great sources of communication for internet users
So this becomes an important source for understanding the opinions, views or
emotions of people. In this case, Twitter sentiment analysis allows you to keep track
of what's being said about your product or service on social media and can help you
detect the flaws said by the customers before they escalate.
Understanding the psychology of consumers can help product managers and
customer success managers to alter their product roadmap with greater precision

5. Table of contents
● WHY WE HAVE CHOOSE THIS TOPIC?
● WHAT ARE THE CHALLENGES RELATED TO THE FIELD?
● WHAT ARE THE PROBLEM STATEMENT RELATED TO THIS FIELD?
● HOW WE ARE TRYING TO SOLVE AND IT'S APPROACH?

6. WHY WE HAVE CHOOSE THIS TOPIC?
01

7. General idea about our
model

8. WHAT ARE THE CHALLENGES RELATED TO THE FIELD?
02

9. Challenges

10. WHAT ARE THE PROBLEM STATEMENT RELATED TO THIS FIELD?
03

11. General idea About our
Model

12. HOW WE ARE TRYING TO SOLVE AND IT'S APPROACH?
04

13. Solutions & Approaches

14. CREDITS: This presentation template was created by
Slidesgo, including icons by Flaticon, and infographics &
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