Depression Detection in Tweets from Urban Cities of Malaysia using Deep Learning
This document was inspired by how the usage of social media platforms in Malaysia such as Twitter have drastically increased ever since the recent Covid-19 pandemic. While practicing social distancing and other pandemic regulations was for the betterment and prevention of physical health, mental hea...
Saved in:
Main Authors: | Priya Sri, E.K., Savita, K.S., Zaffar, M. |
---|---|
Format: | Conference or Workshop Item |
Published: |
IEEE Computer Society
2021
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122915154&doi=10.1109%2fICRIIS53035.2021.9617079&partnerID=40&md5=13640b2e8eaab20bc0ff7405a5e9e611 http://eprints.utp.edu.my/29314/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Robust tweets classification using arithmetic optimization with deep learning for sustainable urban living
by: Hamza, Manar Ahmed, et al.
Published: (2024) -
Sentiment analysis of informal malay tweets with deep learning
by: Ying, O. J., et al.
Published: (2020) -
Mental state detection from tweets by machine learning
by: Nabil, Nabiul Farhan, et al.
Published: (2023) -
Mental state detection from tweets by machine learning
by: Nabil, Nabiul Farhan, et al.
Published: (2023) -
Detecting candidates of depression, anxiety and stress through Malay-written tweets: a preliminary study
by: Maskat, Ruhaila, et al.
Published: (2019)