Malay Tweets: Discovering Mental Health Situation during COVID-19 Pandemic in Malaysia
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9652587/9652588/09652759.pdf?arnumber=9652759
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Leveraging enhanced BERT models for detecting suicidal ideation in Thai social media content amidst COVID-19;Information Processing & Management;2024-07
2. Exploring the Impact of COVID-19 on Individuals’ Mental Health Through Cluster Analysis;Lecture Notes on Data Engineering and Communications Technologies;2024
3. Towards Mental Health Analysis in Social Media for Low-resourced Languages;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-12-30
4. Harnessing Natural Language Processing for Mental Health Detection in Malay Text: A Review;2023 4th International Conference on Artificial Intelligence and Data Sciences (AiDAS);2023-09-06
5. Machine Learning-Based Sentiment Analysis of Mental Health-Related Tweets by Sri Lankan Twitter Users During the COVID-19 Pandemic;Advances in Social Networking and Online Communities;2023-06-30
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