Identifying Key Mental Health Topic on Youtube Comments using Non-negative Matrix Factorization
This study addresses the challenge of identifying key mental health topics within YouTube comments, a resource-rich yet underutilized data source for mental health discourse analysis. The research employed Non-Negative Matrix Factorization (NMF) for topic modeling, coupled with sentiment analysis to...
Published in: | 2024 IEEE 22nd Student Conference on Research and Development, SCOReD 2024 |
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Main Author: | 2-s2.0-85219571902 |
Format: | Conference paper |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2024
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219571902&doi=10.1109%2fSCOReD64708.2024.10872731&partnerID=40&md5=420b93368b2c5f335254697c957a1142 |
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