فهرست نشریات علمی دسترسی آزاد ایران

Social media platforms have become essential sources for studying social, political, and cultural dy-namics. However, current solutions remain fragmented, domain-specific, and often inaccessible to non-experts. This paper introduces an innovative, generic, and extensible conceptual model to bridge this gap. Unlike existing approaches, our framework offers a unified architecture integrating real-time data collection, structured storage, multilingual processing, search, and semantic analysis (in-cluding sentiment analysis and beliefs) within a modular system. It ensures adaptability to the di-verse needs of researchers and professionals. This model stands out through its unified workflow (collection, analysis, and visualization), turnkey interface for non-experts, and extended semantic capa-bilities. We identify critical functional requirements through a comprehensive review of existing tools, highlighting their limitations. We then model a system of independent yet interoperable mod-ules: real-time stream management, filtering, automatic classification (sentiment, topics), and exten-sion mechanisms. While conceptual, this model lays the foundation for practical implementation, illustrated by use cases that show its relevance in research and industry. Designed to meet research-ers' needs, it opens promising avenues for analyzing public opinion and digital behaviors in social media studies.