Detection of Depression in Social Media via Twitter Using Machine learning Approach-Reference-Cited by-同舟云学术

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Detection of Depression in Social Media via Twitter Using Machine learning Approach

Published:2020-10-30 Issue: Volume: Page:
ISSN:
Container-title:2020 International Conference on Smart Innovations in Design, Environment, Management, Planning and Computing (ICSIDEMPC)
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Author:

Kamite Sangeeta R.,Kamble V. B.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9299573/9299575/09299641.pdf?arnumber=9299641

Cited by 14 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. Unraveling minds in the digital era: a review on mapping mental health disorders through machine learning techniques using online social media;Social Network Analysis and Mining;2024-04-04

2. Novel Transformer Based Contextualized Embedding and Probabilistic Features for Depression Detection From Social Media;IEEE Access;2024

3. Anxiety and Depression Red Flag Marker in Social Media;Lecture Notes in Networks and Systems;2024

4. DepBoost-TransNet: Boosted Transformer Network for Depression Classification;Communications in Computer and Information Science;2024

5. Depression detection via a Chinese social media platform: a novel causal relation-aware deep learning approach;The Journal of Supercomputing;2023-12-21

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