Identifying Key Mental Health Topic on Youtube Comments using Non-negative Matrix Factorization

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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:2024 IEEE 22nd Student Conference on Research and Development, SCOReD 2024
المؤلف الرئيسي: 2-s2.0-85219571902
التنسيق: Conference paper
اللغة:English
منشور في: Institute of Electrical and Electronics Engineers Inc. 2024
الوصول للمادة أونلاين:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219571902&doi=10.1109%2fSCOReD64708.2024.10872731&partnerID=40&md5=420b93368b2c5f335254697c957a1142

الانترنت

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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