MARSAD: A Multi-Functional Tool for Real-Time Social Media Analysis
This tool addresses the need for accessible social media monitoring among researchers and non-technical users in the Arabic-speaking domain, though it appears incremental as it integrates existing NLP methods into a new platform.
The researchers tackled the problem of real-time social media analysis for the Arabic-speaking world by developing MARSAD, a multifunctional NLP platform that enables users to monitor and analyze social media content with features like sentiment analysis and propaganda detection, resulting in a tool that processes large datasets efficiently and provides user-friendly visualizations.
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.