|
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 |
Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter
Copyright Infringement Claims
Indexing Partner
|
Published Paper Details
|
|
| Paper Title: | Prediction of Public Mental Health using Machine Learning Algorithms |
| Authors Name: | K.Saranya , S.Tejaswini |
| Unique Id: | IJSDR2304303 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | Recently, a growing quantity of social media-associated intellectual issues (SNMD) have been recognized, consisting of cyber addiction, information overload and on-line compulsion. Today, the signs of those psychiatric issues are normally found passively, leading to a put off in medical intervention. In this newsletter, we argue that online social interaction analysis offers an possibility to proactively locate SNMD at an early stage. It is hard to pick out the SNMD because the mental elements taken into consideration inside the wellknown diagnostic criteria (questionnaires) cannot be found inside the cuts of social pastime. Our approach, that is new and innovative in figuring out using SNMD, isn't always based on the self-identity of those intellectual elements via the use of questionnaires. Instead, we propose a machine learning framework, particularly Social Media Mental Disorder Detection (SNMDD), which makes use of features extracted from social media to accurately perceive ability cases of SNMD. We also use multi-supply learning in SNMD and advise a new tensor model (STM) primarily based on SNMD to improve overall performance. Our structure is evaluated via a consumer observe related to 3126 on line social community customers. We perform function analysis and follow SNMDD to huge datasets and function three sorts of SNMD evaluation. The consequences show that SNMDD is promising for figuring out social media customers with ability SNMDs. |
| Keywords: | SNMD, Net Compulsion, Information Overload, Cyber-Relationship |
| Cite Article: | "Prediction of Public Mental Health using Machine Learning Algorithms", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1961 - 1966, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304303.pdf |
| Downloads: | 000337065 |
| Publication Details: | Published Paper ID: IJSDR2304303 Registration ID:205511 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 1961 - 1966 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijsdr.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
Track Paper
Important Links
Conference Proposal
ISSN
 |
 |
DOI (A digital object identifier)
  Providing A digital object identifier by DOI How to GET DOI and Hard Copy Related |
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
 |
 |
 |
Social Media
Indexing Partner |
|||
| Copyright © 2024 - All Rights Reserved - IJSDR | |||
Facebook Twitter Instagram LinkedIn