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Predicting depression using deep learning and ensemble algorithms on raw twitter data - 2020

Predicting Depression Using Deep Learning And Ensemble Algorithms On Raw Twitter Data

Research Area:  Machine Learning

Abstract:

Social network and microblogging sites such as Twitter are widespread amongst all generations nowadays where people connect and share their feelings, emotions, pursuits etc. Depression, one of the most common mental disorder, is an acute state of sadness where person loses interest in all activities. If not treated immediately this can result in dire consequences such as death. In this era of virtual world, people are more comfortable in expressing their emotions in such sites as they have become a part and parcel of everyday lives. The research put forth thus, employs machine learning classifiers on the twitter data set to detect if a person-s tweet indicates any sign of depression or not.

Keywords:  

Author(s) Name:  Nisha P. Shetty, Balachandra Muniyal, Arshia Anand, Sushant Kumar, Sushant Prabhu

Journal name:  International Journal of Electrical and Computer Engineering (IJECE)

Conferrence name:  

Publisher name:  Institute of Advanced Engineering and Science

DOI:  10.11591/ijece.v10i4.pp3751-3756

Volume Information:  Vol 10, No 4