Mental Health Analysis using ABSA and Affective Computing
Ishani Koul
, K Tarun Naidu , Harshitha B.S , Ayush Gupta , Dr. Dayananda R.B
Depression; Sentiment Analysis; Affective Computing; Multimodal; Facial recognition; Textual;
This study examines the relationship between facial and textual aspects and psychological characteristics of the user. The aim of the study was to find methods to detect depressivity of the user based on their facial expressions and textual scripts. Depression is a major affective disorder. The effects of depression extend beyond the individual patient, with negative impact on patients’ employers, spouses, and children. According to the World Health Organization, depression is the most common mental disorder. Currently, 300 million people suffer from depression and the numbers keep increasing. The prevalence of depression in the adult population (i.e., clinical depression and definite depression) has been reported at approximately 5% across cultures (Klimusová et al., 2016), and approximately 20% in its milder form (partial symptoms, mild depression, and probable depression (Cho et al., 1998). This paper aims to develop a multimodal system that can detect depression more accurately and can help the person to cope with the same. The application of Sentiment Analysis and Affective Computing are done for the same.
"Mental Health Analysis using ABSA and Affective Computing", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 8, page no.211 - 214, August-2020, Available :https://ijsdr.org/papers/IJSDR2008023.pdf
Volume 5
Issue 8,
August-2020
Pages : 211 - 214
Paper Reg. ID: IJSDR_192310
Published Paper Id: IJSDR2008023
Downloads: 000347344
Research Area: Engineering
Country: Bengaluru , Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
