Sentiment analysis, also referred to as opinion mining, is an approach to natural language processing (NLP) that identifies the emotional tone behind a body of text. This is a popular way for organizations to determine and categorize opinions about a product, service, or idea.

We have used Naive Bayes model for the prediction of the text. For classifing the sentiment , we have used nltk for calculating the polarity. Using this polarity we classified positive, negative and neutral.

You can use jupyter notebook, or kaggle or google Collab. pip install jupyter notebook can be used for downloading jupyter notebook Note: python must be installed for the command to work. Other libraries if need:

1. pip install numpy
2. pip install pandas
3. pip install sklearn
4. pip install matplotlib

Arnav Kumar: https://github.com/ArnavKumar7 Vijith BG: https://github.com/crypto-vbg