MARSAD: A Multi-Functional Tool for Real-Time Social Media Analysis

TL;DR

MARSAD is a versatile NLP platform that enables real-time social media analysis, focusing on Arabic content, with features like sentiment, emotion, propaganda, fact-checking, and hate speech detection, supported by secure data access and efficient architecture.

Contribution

Introduces MARSAD, a comprehensive social media analysis tool tailored for Arabic content, combining multiple analytical functions in a user-friendly, real-time platform.

Findings

Supports real-time monitoring of Arabic social media content

Provides detailed visualizations and reports across multiple analysis dimensions

Ensures efficient processing of large, multimodal datasets

Abstract

MARSAD is a multifunctional natural language processing (NLP) platform designed for real-time social media monitoring and analysis, with a particular focus on the Arabic-speaking world. It enables researchers and non-technical users alike to examine both live and archived social media content, producing detailed visualizations and reports across various dimensions, including sentiment analysis, emotion analysis, propaganda detection, fact-checking, and hate speech detection. The platform also provides secure data-scraping capabilities through API keys for accessing public social media data. MARSAD's backend architecture integrates flexible document storage with structured data management, ensuring efficient processing of large and multimodal datasets. Its user-friendly frontend supports seamless data upload and interaction.