Skip to content

apoorvasaraswat5/Sentiment-Analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Sentiment-Analysis

Sentiment analysis is the method of identifying emotions from a sentence based on the usage of words by a person. The emotions can be classified as positive, neutral, or negative. The social media is flooded with people voicing their opinions on things around them every day. This application is a simple implementation of Sentiment Analysis on a stream of tweets from Twitter. The sentiments are analyzed using the "bag of words" approach wherein each word from postive-words get a +1 score and each word from negative-words gets a -1 score. A final score is calculated for each tweet to identify the sentiment.

How to run:

python application.py

About

Sentiment Analysis

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages