Depression Classification From Tweets Using Small Deep Transfer Learning Language Models-Reference-Cited by-同舟云学术

Depression Classification From Tweets Using Small Deep Transfer Learning Language Models

Published:2022 Issue: Volume:10 Page:129176-129189
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Rizwan Muhammad¹^ORCID,Mushtaq Muhammad Faheem¹,Akram Urooj¹,Mehmood Arif²^ORCID,Ashraf Imran³^ORCID,Sahelices Benjamín⁴^ORCID

Affiliation:

1. Department of Artificial Intelligence, Islamia University of Bahawalpur, Bahawalpur, Pakistan

2. Department of Computer Science and Information Technology, Islamia University of Bahawalpur, Bahawalpur, Pakistan

3. Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, South Korea

4. Department of Informatics, University of Valladolid, Valladolid, Spain

Funder

Department of Informatics, University of Valladolid, Spain

Spanish Ministry of Economy and Competitiveness through Feder Funds

MINECO/AEI/ERDF

Aragón Government under Grant T58_20R research group

Construyendo Europa desde Aragón

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09954391.pdf?arnumber=9954391

Reference60 articles.

1. CairoDep: Detecting Depression in Arabic Posts Using BERT Transformers

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3. Social Media Toxicity Classification Using Deep Learning: Real-World Application UK Brexit

4. Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis

5. Fine-Tuning BERT Models to Classify Misinformation on Garlic and COVID-19 on Twitter

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