A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media-Reference-Cited by-同舟云学术

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A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media

Published:2020 Issue: Volume: Page:
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Container-title:Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Author:

Sawhney Ramit,Joshi Harshit,Gandhi Saumya,Shah Rajiv Ratn

Publisher

Association for Computational Linguistics

Cited by 46 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. A self-attention TCN-based model for suicidal ideation detection from social media posts;Expert Systems with Applications;2024-12

2. Mental disorder and suicidal ideation detection from social media using deep neural networks;Journal of Computational Social Science;2024-07-06

3. Emotion mining for early suicidal threat detection on both social media and suicide notes using context dynamic masking-based transformer with deep learning;Multimedia Tools and Applications;2024-05-25

4. Can ChatGPT provide a better support: a comparative analysis of ChatGPT and dataset responses in mental health dialogues;Current Psychology;2024-05-23

5. Systemization of Knowledge (SoK): Creating a Research Agenda for Human-Centered Real-Time Risk Detection on Social Media Platforms;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

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