Sentiment Analysis Flask App

This repository contains a Flask app for sentiment analysis. The app analyzes sentiment of text reviews related to badminton.

Folder Structure

• Data/reviews_badminton: Contains the data files used for sentiment analysis.
• requirement.txt: Contains a list of required Python packages. Install them using pip install -r requirements.txt.
• app.py: Flask app file. Run the app using python3 app.py in the terminal.

Setup and Usage

1. Clone the repository to your local machine:

   git clone https://github.com/your-username/sentiment-analysis.git

2. Navigate to the cloned repository directory:

   cd sentiment-analysis

3. Install the required Python packages:

   pip install -r requirements.txt

4. Run the Flask app:

   python3 app.py

5. Open your web browser and go to http://localhost:5000 to access the app.

How to Use

1. Enter a review related to badminton in the text area provided.
2. Click on the "Predict Sentiment" button.
3. The app will analyze the sentiment of the review and display the result.

About

This Flask app uses a machine learning model to perform sentiment analysis on text reviews. It is built for analyzing sentiment specifically in badminton-related reviews. The model is trained on a dataset of badminton-related reviews and predicts whether a review is positive, negative, or neutral.

License

This project is licensed under the MIT License - see the LICENSE file for details.