Twitter-Sentiment-Analysis

This Project is based on the text processing of tweets and then predicting their Sentiment.

Text Preprocessing Steps:

1. removal of punctuation, special characters
2. lower or upper case
3. Tokenization
4. stemming
5. Lemmatization

Word Cloud (Fig_1)

This Project uses Bag of Words Model and MultinomialNB classifier for classification.

classification report: (Fig_2)

Accuracy : 0.94