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Articles by Mohammad SM
Emotional drivers of misinformation consumption and toxicity on YouTube
In this study, we investigate the emotional content of toxic language produced by two opposing online communities: misinformation-prone and mainstream-prone users. The online debate is driven by an emotionally and politically polarizing topic–COVID-19.
Anime popularity prediction before huge investments: a multimodal approach using deep learning
In this article, one of the most robust free datasets for anime popularity prediction only with features available before huge investments was introduced, relying solely on freely available internet data. To explore this dataset and its scopes, a deep neural network leveraging GPT-2 and ResNET-50 was proposed. To measure the performance of the models, MSE and R2 Score were employed.
Automated sentiment analysis of visually impaired students’ audio feedback in virtual learning environments
Automated sentiment analysis of visually impaired students’ audio feedback in virtual learning environments Educational Technology and Computer Department, Faculty of Specific Education, Kafrelshiekh University, Egypt DOI 10.7717/peerj-cs.2143 Academic Editor Paulo Jorge Coelho Subject Areas Artificial Intelligence, Computer Education, Sentiment Analysis, Neural Networks Keywords Sentiment analysis, Visually impaired student, Audio feedback analysis, Academic performance, E-learning...
Music emotion representation based on non-negative matrix factorization algorithm and user label information
Music serves as a powerful medium for expressing and evoking human emotions. As our understanding of user emotions continues to evolve, it has become imperative to develop more sophisticated and personalized emotion identification technology. However, since emotions are inherently subjective, many users refrain from expressing their emotions on social media, struggle to articulate their feelings accurately, or may not even be fully aware of their emotional states.
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