Twitter-Sentiment-Analysis
Analyzing reaction to tweets using TextBlob
- How Sentiment Analysis Works
- Use twitter API to search for tweets with a specific mention
- The search text is then broken down into chunks of words and sentences(Tokenization).
- After tokenization, textblob will calculate how often a tweet shows up based based on number of retweets and likes (Bag of Words model). From this, the measure of popularity can be determined.
- Finally, the measure of reaction of a tweet is printed.
- Makes sense right!
Setup
Install Tweepy
git clone https://github.com/tweepy/tweepy.git
cd tweepy
python setup.py install
Install TextBlob
git clone https://github.com/sloria/TextBlob
cd TextBlob
python setup.py install
Create your twitter app here
And You're all set
