id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-5163	Neelam Kumari	Deep Learning and Natural Language Processing Techniques for Depression Detection in Social Media Texts: A Comprehensive Review	2025	21	.pdf	application/pdf	8366	458	47	No. ICMASD (2025) 1388 https://internationalpubls.com Deep Learning and Natural Language Processing Techniques for Depression Detection in Social Media Texts: A Comprehensive Review Neelam Kumari1, Jagdeep Kaur2 1Research Scholar, Sant Baba Bhag Singh University, Jalandhar, India 2Professor, CSE, Sant Baba Bhag Singh University, Jalandhar, India ndidhra1403@gmail.com, universitysbbsuuiet@gmail.com Article History: Received: 12-12-2024 Revised: 25-01-2025 Accepted: 05-02-2025 Abstract: With the increased prevalence of social media, depression is becoming a prominent health issue worldwide and it has opened new opportunities for researchers to explore new techniques for depression detection in social media texts. This review provides a thorough examination of these techniques for depression detection in posts of users.	cache/cana-5163.pdf	txt/cana-5163.txt