Sentiment Analysis Project

Description

This project implements a sentiment analysis model using Python and Jupyter Notebook. Sentiment analysis is the process of determining the emotional tone behind a series of words, used to gain an understanding of the attitudes, opinions and emotions expressed within an online mention.

Contents

• Sentiment Analysis.ipynb: Jupyter Notebook containing the main code for the sentiment analysis model.

Requirements

(List the main libraries and dependencies here. For example:)

• Python 3.x
• Jupyter Notebook
• pandas
• numpy
• scikit-learn
• NLTK

Installation

1. Clone this repository:

   git clone https://github.com/ramyacp14/SentimentAnalysis.git
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

Usage

1. Open the Jupyter Notebook:

   jupyter notebook "Sentiment Analysis.ipynb"
   

2. Follow the instructions within the notebook to run the sentiment analysis.

Contributing

Contributions to this project are welcome. Please fork the repository and submit a pull request with your changes.

Contact

For any questions or feedback, please contact Ramya Chowdary Patchala at ramyacp14@gmail.com