/Twitter-Sentiment-Analysis

The sentiment analysis of any topic by parsing the tweets fetched from Twitter using Python.

Primary LanguageJupyter Notebook

Twitter-Sentiment-Analysis

The sentiment analysis of any topic by parsing the tweets fetched from Twitter using Python.

The Jupyter notebook uses the saved logistic regression model which was trained using the data Sentiment140 dataset with 1.6 million tweets. It also uses the saved word2vec model trained on the same data.

Future Scope

  1. Making a web app.
  2. Deploying the model on AWS.
  3. Trying other Algorithms as well.