Detecting depression using Hybrid models created using Google's BERT and Facebook's Fast Text Algorithms-Reference-Cited by-同舟云学术

Detecting depression using Hybrid models created using Google's BERT and Facebook's Fast Text Algorithms

Published:2022-04-28 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Saravanan T.¹,Jhaideep T.¹,Bindu N. Hima¹

Affiliation:

1. St. Martin's Engineering College,Department of Computer Science and Engineering,Secunderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9823381/9823413/09823581.pdf?arnumber=9823581

Reference20 articles.

1. A scoping review of the use of Twitter for public health research

2. When they say weed causes depression, but it's your fav antidepressant;yadav;Knowledge-aware Attention Framework for Relationship Extraction PloS one,2021

3. Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media

4. Ensembling Classical Machine Learning and Deep Learning Approaches for Morbidity Identification From Clinical Notes

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