Sentiment Analysis Project

Overview

This project involves building a sentiment analysis model to classify text as positive or negative using machine learning techniques.

Project Structure

/sentiment-analysis/
├── README.md
├── app.py
├── data
│   └── sentiment_dataset.csv
├── model
│   └── train_model.py
├── sentiment_model.pkl
├── vectorizer.pkl
└── requirements.txt

Installation and Usage

To get started with the project, follow these steps:

1. Clone the repository:

   git clone https://github.com/saajann/sentiment-analysis.git

2. Navigate to the project directory:

   cd sentiment-analysis

3. Install the required dependencies:

   pip install -r requirements.txt

4. Run the Streamlit application:

   streamlit run app.py