Sentiment Analysis of a text written in Python using Natural Language Toolkit library

By Soumyadip Sarkar

Sentiment Analysis model using twitter samples written in Python using Natural Language Toolkit (NLTK) library.

Sentiment Analysis model written in Python using twitter samples from built in NLTK library. It predicts a given sentence as positive sentiment or negative sentiment. Implemented Naive Bayes Classifier to train this model.

 

Requirements:

- NLTK (Natural Language ToolKit)

pip install nltk

Requires Python3

 

How to use:

- Go to the folder and open terminal in that path, then type

python main.py