Machine Learning Technique to Detect and Classify Mental Illness on Social Media Using Lexicon-Based Recommender System

Research article (Computational Intelligence and Neuroscience, 2022) · cited 14× · AI/ML
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Machine Learning Technique to Detect and Classify Mental Illness on Social Media Using Lexicon-Based Recommender System

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Machine Learning Technique to Detect and Classify Mental Illness on Social Media Using Lexicon-Based Recommender System is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine Learning Technique to Detect and Classify Mental Illness on Social Media Using Lexicon-Based Recommender System. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-technique-to-detect-and-classify-mental-illness-on-social-media-using-lexicon-based-recommender-system
MLA “Machine Learning Technique to Detect and Classify Mental Illness on Social Media Using Lexicon-Based Recommender System.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-technique-to-detect-and-classify-mental-illness-on-social-media-using-lexicon-based-recommender-system.
BibTeX @misc{4ortxyz_machine-learning-technique-to-detect-and-classify-mental-illness-on-social-media-using-lexicon-based-recommender-system_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning Technique to Detect and Classify Mental Illness on Social Media Using Lexicon-Based Recommender System}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-technique-to-detect-and-classify-mental-illness-on-social-media-using-lexicon-based-recommender-system}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine Learning Technique to Detect and Classify Mental Illness on Social Media Using Lexicon-Based Recommender System — https://4ort.xyz/entity/machine-learning-technique-to-detect-and-classify-mental-illness-on-social-media-using-lexicon-based-recommender-system (retrieved 2026-05-24)

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