TWITTER SENTIMENT ANALYSIS USING NLP

The following google colab notebook mostly reads tweets from a given kaggle data set which mostly contains about 1.6 million tweets
Additionaly, we can classify the data(tweet) weather it would lead a postive impression or a negative impression
The model returns 0 if the tweet is considered as negative and 1 if the tweet is considered as postive
The model works with an accuracy of about 77% and returs answers efficiently