Intelligent system for analyzing words effect on human activity
While surrounded with e-environment must benefit from this feature to analyzing words effect and effected on human activity to improve high performance and stability with psychological. this paper deal with how can analysis sentence and show effect on human by using multi techniques such CNN ,.. etc. and using web scraping API collected COVID-19-related news from Google, Facebook, Twitter, and BBC News. The parameters used in the API included the title (“COVID,” “panic,” “diseases,” “crises,” “attack”)as keyword to show effect , system give good result when implementing and give the best methods to shock absorption. Keywords : Behavioral Influence ,CNN , sentences analysis and activity.
Institutions
- University of Sfax (TN)
- University of Information Technology and Communications (IQ)
- University of Sousse (TN)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-12
- DOI
- https://doi.org/10.5281/zenodo.17685445
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 0.00