/Sarcasm-Detection-

ML Based Sarcasm Detection

Primary LanguageHTML

Sarcasm Detection App

This is a Sarcasm Detection App built using Natural Language Processing (NLP) techniques. The app analyzes text input and predicts whether the given text is sarcastic or not.

Features

  • Input a sentence or phrase and determine if it is sarcastic.
  • Get real-time prediction results with high accuracy.
  • Easy-to-use web interface.

Prerequisites

Before running the application, make sure you have the following installed:

  • Python (version 3.6 or higher)
  • Flask (install via pip: pip install flask)
  • Natural Language Toolkit (NLTK) (install via pip: pip install nltk)
  • Machine Learning libraries such as TensorFlow, Scikit-learn, or PyTorch (install as per your preference)

Installation

  1. Clone the repository to your local machine using the following command:

  2. Navigate to the project directory:

  3. Create a virtual environment (optional but recommended) to isolate project dependencies:

  4. Activate the virtual environment:

  • For Windows:

    venv\Scripts\activate
    
  • For macOS/Linux:

    source venv/bin/activate
    
  1. Install the required dependencies:

  2. Download the necessary NLTK data by running the following command:

Running the Application

  1. Make sure you are in the project directory and that your virtual environment is activated.

  2. Run the following command to start the Flask development server:

  3. Open a web browser and enter the following URL:

The Sarcasm Detection App should now be running, and you will see the web interface.

  1. Enter a sentence or phrase into the provided input box and click the "Detect Sarcasm" button.

  2. The app will process the input and display the prediction result, indicating whether the text is sarcastic or not.

Customization

  • You can further customize the app by modifying the underlying NLP model or the user interface based on your specific requirements.

Contributing

Contributions are welcome! If you have any suggestions, bug reports, or feature requests, please open an issue on the GitHub repository.

License

This project is licensed under the MIT License.

##ScreenShots of my Project:

Detection Image Review Image