Flipkart Review Sentiment Analysis Using Machine Learning

This script preprocesses and performs sentiment analysis on text data in a DataFrame column named "Review". It uses NLTK for text cleaning and VADER sentiment analysis to generate sentiment scores.

Features

• Text Cleaning: Converts text to lowercase, removes URLs, HTML tags, punctuation, and numbers, and applies stemming.
• Sentiment Analysis: Calculates positive, negative, and neutral sentiment scores for each review and determines the overall sentiment of the dataset.

Usage

1. Install Dependencies: Ensure you have NLTK and pandas installed.
2. Download NLTK Resources: Download the VADER lexicon.
3. Clean and Analyze Text: The script processes the text data and computes sentiment scores, displaying the overall sentiment.

Example

• Input DataFrame: Contains a column "Review" with text data.
• Output: A DataFrame with the original review, positive, negative, and neutral sentiment scores.

License

This project is licensed under the MIT License.