Sentiment Analysis Web Application

This Web app and Training the model is doing by myself with support of IA for educational propourse

A web application for analyzing the sentiment of user-provided text (positive or negative). Built using Flask for the backend and scikit-learn for the machine learning model.

Features

• Simple web interface for real-time sentiment analysis.
• Machine learning model trained with Logistic Regression.
• Preprocessed data using TF-IDF for feature extraction.

Installation

1. Clone the repository:

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

cd sentiment-analysis-webapp

2. Install dependencies:

pip install -r requirements.txt

3. Run the application:

python app.py

Usage

1. Open http://127.0.0.1:5000/ in your browser.

2. Enter text in the input box to analyze its sentiment.

License

This project is lincesed under the MIT License.