Sentiment Analysis from Depression-Related User-Generated Contents from Social Media-Reference-Cited by-同舟云学术

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Sentiment Analysis from Depression-Related User-Generated Contents from Social Media

Published:2021-06-22 Issue: Volume: Page:
ISSN:
Container-title:2021 8th International Conference on Computer and Communication Engineering (ICCCE)
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Author:

Saha Ananna,Marouf Ahmed Al,Hossain Rafayet

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9467106/9467134/09467214.pdf?arnumber=9467214

Cited by 13 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. Prediction of Student Depression State of Mind Using Machine Learning Technique;International Journal of Advanced Research in Science, Communication and Technology;2024-07-22

2. Semantic analysis based on ontology and deep learning for a chatbot to assist persons with personality disorders on Twitter;Behaviour & Information Technology;2023-10-27

3. Detection of Depression Using Data Collected from Social Media;2023 International Conference on Network, Multimedia and Information Technology (NMITCON);2023-09-01

4. An Entropy-Based Method with a New Benchmark Dataset for Chinese Textual Affective Structure Analysis;Entropy;2023-05-13

5. Machine Learning-based Depression Prediction using Social Media Feeds;2023 International Conference on Inventive Computation Technologies (ICICT);2023-04-26

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