Sentiment Analysis of Products Using NLP

Overview

This project analyzes product reviews and ratings to determine sentiment using Natural Language Processing (NLP). It helps in understanding customer feedback by classifying reviews as positive, negative, or neutral.

Sample Dataset

The sample dataset for this project is available here.

Dependencies

• Python 3.6 or higher
• Anaconda
• Jupyter Notebook

Setup and Installation

1. Clone the Repository

   git clone https://github.com/surajsajwan00/sentiment-analysis-of-products-using-NLP
   cd sentiment-analysis-of-products-using-NLP
   

2. Create and Activate a Conda Environment

    conda create --name nlp_env python=3.6
    conda activate nlp_env
   

3. Open Jupyter Notebook

    jupyter notebook

Navigate to the project directory and open the notebook to start the analysis.