This is a Flask-based web application for text classification. The application uses a pre-trained Random Forest model to classify text as either a disaster or not a disaster.
Before running the application, make sure you have the following prerequisites installed:
- Python 3.11
- Flask (You can install it using
pip install flask) - Other required Python packages (See requirements.txt)
-
Clone this repository:
git clone git@github.com:IsuriDisanayaka/NaturalLanguageProcessing.git
-
Navigate to the project directory:
-
cd NaturalLanguageProcessing
-
Install the required Python packages:
pip install -r requirements.txt -
Running the Application To run the Flask application locally, use the following command: python app.py *The application will be accessible at http://localhost:5000 in your web browser.
###Usage Enter text in the text area on the web page. Click the "Predict" button.
The application will classify the text as either a "Disaster" or "Not a Disaster" and display the result.
###Files in the Repository app.py: The Flask web application. random_forest_model.pkl: The trained Random Forest model. tfidf_vectorizer.pkl: The TF-IDF vectorizer. templates/: Contains the HTML template files.
#Contributing
Contributions are welcome! If you'd like to contribute to the project, please follow these steps:
Fork the repository on GitHub. Create a new branch for your feature or bug fix. Make your changes and commit them to your branch. Push your branch to your fork. Submit a pull request to the main repository. Please ensure that your code follows the project's coding standards and includes appropriate documentation.
License
This project is licensed under the MIT License.