Paper Title
Sentiment Analysis for Mental Well-being Using NLP
Article Identifiers
Authors
Aakash Mopati , Thrisha Reddy Pagidi , Venkat Bhuvan , Ms. K. Sreelatha
Keywords
Natural Language Processing, Data Collection, Sentiment Analysis, Natural Language Tool Kit
Abstract
Several nations around the world seriously undervalue the importance of mental health. We require creative strategies to raise awareness of the value of mental health in nations like India where it is stigmatized. The foundation of this paper is the principles of NLP and data collection. Users will be able to download a software, which collects data from their browser history in the background and produces a report. The Natural Language Toolkit (NLTK) and data collection are the methodologies employed in this study. The user's browsing information is gathered and stored. The NLTK, which can evaluate the sentiment of the provided data, is used to process this data. This paper talks about text recognition and text analysis, and NLTK is based on Python and has both. India has a very high ratio of suicides to psychiatrists, which is approximately a factor of 300. This research will provide a solution for many people suffering from mental problems. The number of suicides and several other mental issues decreases as more people receive the assistance they require.
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"Sentiment Analysis for Mental Well-being Using NLP", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.i57-i65, May-2023, Available :https://ijnrd.org/papers/IJNRD2305808.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : i57-i65
Other Publication Details
Paper Reg. ID: IJNRD_197237
Published Paper Id: IJNRD2305808
Downloads: 000121175
Research Area: Engineering
Country: Hyderabad, Telangana, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305808.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305808
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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