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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
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| Paper Title: | Soul-Surveyor: Mental Health Monitoring System. |
| Authors Name: | Ravikumar Singh , Ayush Vishwakarma , Mr. Abhishek Laharia |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_202681
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| Published Paper Id: | IJRTI2504216 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | Mental health is a foundational aspect of human well-being and has garnered increasing attention in the contemporary healthcare discourse. With the rise of digital platforms, individuals frequently share personal thoughts, emotions, and life experiences online, generating an extensive stream of text-based data. This presents a unique opportunity to extract meaningful insights into the psychological state of populations using data analytics. The project titled "Sentiment Analysis of Mental Health” frameworks and natural language processing (NLP) techniques to analyze mental health-related digital content. By leveraging sentiment analysis models, the system classifies online expressions—such as those found in social media posts, forums, and chat logs—into sentiment categories: positive, negative, or neutral. Beyond basic sentiment classification, the project incorporates emotion detection algorithms to identify nuanced emotional states, including sadness, happiness, stress, and anxiety. To operationalize the results, BI dashboards are employed to visualize sentiment trends and emotional patterns in real-time. These tools support mental health professionals, researchers, and policymakers by offering a comprehensive view of emerging concerns, behavioral shifts, and potential risk indicators. Ultimately, this integration of NLP and BI serves to demystify online discourse around mental health, reduce stigma through informed analysis, and support proactive, data-informed interventions. |
| Keywords: | Business intelligence,Sentimental Analysis, Natural Language Processing, Mental Health Monitoring,Data Analytics |
| Cite Article: | "Soul-Surveyor: Mental Health Monitoring System.", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b929-b940, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504216.pdf |
| Downloads: | 000341 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504216
Registration ID:202681
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b929-b940 Country: Mumbai Suburban/Borivali, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504216 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504216 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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