Analysing Depression in Social Media: A Study of Basic Deep Learning Algorithms and Transformer Model with a Comparative Approach-Reference-Cited by-同舟云学术

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Analysing Depression in Social Media: A Study of Basic Deep Learning Algorithms and Transformer Model with a Comparative Approach

Published:2024-07-18 Issue: Volume:19 Page:1-6
ISSN:
Container-title:2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN)
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Author:

Philip Anju Thankam¹,Radhakrishnan Iyer Reshma¹,L Nitha¹

Affiliation:

1. Amrita Vishwa Vidyapeetham,Dept. of Computer Science and IT School of Computing,Kochi,Kerala,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10670699/10670715/10670781.pdf?arnumber=10670781

Reference16 articles.

1. Automatic Depression Detection: an Emotional Audio-Textual Corpus and A Gru/Bilstm-Based Model

2. Depression Intensity Estimation via Social Media: A Deep Learning Approach

3. A Transformers Approach to Detect Depression in Social Media

4. A Depression Detection Model using Deep Learning and Textual Entailment;Elshazly;International Journal of Computer Science and Information Security (IJCSIS),2021

5. Arabic Sentiment Analysis and Sarcasm Detection Using Probabilistic Projections-Based Variational Switch Transformer

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