Sentiment Analysis using NLP and Naive Bayes

Overview

This project performs sentiment analysis on text reviews using Natural Language Processing (NLP).

Technologies Used

• Python
• Pandas
• Scikit-learn
• CountVectorizer
• Multinomial Naive Bayes

Features

• Converts text into numerical features using Bag of Words.
• Trains a Naive Bayes classification model.
• Predicts whether a review is Positive or Negative.
• Accepts user input for real-time sentiment prediction.

Concepts Used

• Natural Language Processing (NLP)
• Bag of Words
• CountVectorizer
• Text Classification
• Naive Bayes Algorithm

Author

MANOJ M