Detection and Analysis of Mental Health Illness using Social Media
Author:
Affiliation:
1. National University of Sciences and Technology,MCS,Department of Computer Software Engineering,Islamabad,Pakistan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10164827/10164854/10165143.pdf?arnumber=10165143
Reference28 articles.
1. An Unsupervised Learning Approach for Automatically to Categorize Potential Suicide Messages in Social Media
2. Twitter as a corpus for sentiment analysis and opinion mining;pak;Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10),2010
3. Glove: Global Vectors for Word Representation
4. Early Detection of Signs of Anorexia and Depression Over Social Media using Effective Machine Learning Frameworks;paul;CLEF (Working Notes),2018
5. Detection and Classification of mental illnesses on social media using RoBERTa;murarka,2020
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