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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Volume 9 | Issue 5

Impact factor: 8.15

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Paper Title: Analysing Mental Health Across Twitter Users by Sentiment Analysis
Authors Name: Ansh Agrawal , Abhinav raj , Anuj Kumar rai , Milan Pandey
Unique Id: IJSDR2303026
Published In: Volume 8 Issue 3, March-2023
Abstract: Social networking services like Twitter provide an abstract representation of one's mental condition. The prevalence of mental health illnesses frequently goes undiagnosed, creating a severe problem that still affects all facets of society. Popular social networking websites can be used to spot recurring psychological trends. These patterns can represent one's daily thoughts and emotions. Our study uses Twitter data to identify people who may be experiencing mental problems and categorise them using sentiment analysis techniques based on the language used and certain behavioural characteristics. We present a novel approach for data extraction and concentrate on the study of depression, schizophrenia, anxiety disorders, substance misuse, and seasonal affective disorders in order to address the growing issue of mental disorders. By monitoring users on Twitter for a predetermined amount of time, our technology may be utilised to not only identify but also measure users' advancement. In the long run, this can assist medical practitioners and public health specialists in tracking the signs and patterns of development of mental problems in social media users. The use of social media exacerbates issues with mental health. The consequences of social network use on mental health are summarised in this comprehensive study. Google Scholar databases produced a selection of 50 papers; following the application of various inclusion and exclusion criteria, 16 papers were selected, and each paper was assessed for quality. The remaining eight papers were systematic reviews, three were longitudinal studies, two were qualitative studies, and eight were cross-sectional studies. Anxiety and depression were categorised as two mental health outcomes. Spending time on social media and other related activities has a beneficial impact on the area of mental health. There are, however, a lot of variances because of the cross-sectional design and sampling's technical restrictions. Through qualitative research and vertical cohort studies, the structure of social media affects on mental health has to be better analysed
Keywords: Semtimental Analysis, Twitter, Depression, Mental Health, Social Networking
Cite Article: "Analysing Mental Health Across Twitter Users by Sentiment Analysis", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 3, page no.148 - 165, March-2023, Available :http://www.ijsdr.org/papers/IJSDR2303026.pdf
Downloads: 000338720
Publication Details: Published Paper ID: IJSDR2303026
Registration ID:204210
Published In: Volume 8 Issue 3, March-2023
DOI (Digital Object Identifier):
Page No: 148 - 165
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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