AISoMeM - Artificial Intelligence Social Media Moderation

WARNING: THIS REPO IS DEPRECATED

⚠️ Please note that this repository is no longer being maintained. AISoMeM has changed its name to HaSpDe. For the latest updates and developments, visit github.com/HateSpeechDetection. Thank you for your understanding! ⚠️

Overview

HaSpDe is a project dedicated to utilizing artificial intelligence for social media content moderation. Its aim is to streamline the process of moderating user-generated content on social media platforms, enhancing both efficiency and effectiveness.

Features

• Machine Learning Model: Employs a machine learning model to automate content moderation.
• Comment Moderation: Flags or approves comments based on model predictions.
• Learning Capability: Can collect data for future model training, improving accuracy over time.

Getting Started

Prerequisites

• Python (>=3.6 and <=3.11.x)
• Required Python packages (listed in requirements.txt)

Installation

1. Clone the repository: git clone https://github.com/botsarefuture/AISoMeM.git
2. Install dependencies: pip install -r requirements.txt

Usage

1. Run the moderation script: python moderation_script.py
2. When prompted, enter the comment to be moderated.

Configuration

• Modify the moderation script settings in moderation_script.py.
• Fine-tune machine learning model parameters as needed for optimal performance.

Contributing

Contributions are welcome! If you'd like to help improve HaSpDe, please follow the Contribution Guidelines.

License

This project is licensed under the MIT License.

Acknowledgments

A big thank you to the open-source community and all contributors!