MARSAD: A Multi-Functional Tool for Real-Time Social Media Analysis
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 16 references that are in the map. First posted on arXiv 1 Dec 2025.
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References · 6
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
- 2020ARBERT & MARBERT: Deep Bidirectional Transformers for Arabiccited by 166
- 2021The Interplay of Variant, Size, and Task Type in Arabic Pre-trained Language Modelscited by 119
- 2024Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMscited by 8
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