The code uses the tweepy library to access the Twitter API and the TextBlob library to perform Sentiment Analysis on each Tweet. Given a topic we'll be able to see how positive or negative the most recent tweets are.
- Sentiment Analysis on the topic - "Trump"
- Sentiment Analysis on the topic - "Demontization"
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Can be used to see how positive or negative the tweets are, about a given celebrity(i.e for example we can check what people thinking about Trump over the past few days)
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Can be used to find out the general sentiment that customers feel after a product launch(i.e for example we can try checking what people Apple AirPods)
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Assuming that your classmates use twitter, you can try to find out how they felt about your recent exam!
- tweepy
- TextBlob
- LingPipe
Install missing dependencies using pip
Once you have your dependencies installed via pip, run the script in terminal via
python tAnal.py
To analyze a custom topic, open up the tAnal.py file and change the demo topic string variable i.e q="Trump"