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Twitter sentiment analysis

A Python scikit based project that fetches a collection of tweets in a given topic and performs classification based on the sentiments.

This project was made for Information Retrieval course, Fall 2017.

Training

The training dataset is downloaded from Kaggle

  • Hyperlinks removed
  • Emoticons removed
  • Retweets removed

Classifiers used:

  1. Naive Bayes
  2. KNN
  3. SVM

Testing

Tweets for testing fetched using Twitter API

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