UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 9
September-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRE006051


Registration ID:
187677

Page Number

306-311

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Title

Detecting Stress Based on Social Interactions in Social Networks

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Abstract

Mental pressure is undermining individuals' wellbeing. It is non-paltry to recognize pressure opportune for proactive care. With the notoriety of online networking, individuals are accustomed to offering their day by day exercises and communicating to companions via web-based networking media stages,making it doable to use online informal community information for stretch discovery. In this paper, we find that clients stretch state is firmly identified with that of his/her companions in online networking, and we utilize an expansive scale dataset from certifiable social stages to efficiently think about the connection of clients' pressure states and social cooperations. We initially characterize an arrangement of stress-related literary, visual, and social qualities from different viewpoints, and after that propose a novel half and half model - a factor chart display joined with Convolutional Neural Network to use tweet substance and social communication data for push location. Test comes about demonstrate that the proposed model can enhance the discovery execution by 6-9% in F1-score. By additionally dissecting the social collaboration information, we likewise find a few charming wonders, i.e. the quantity of social structures of inadequate associations (i.e. with no delta associations) of focused on clients is around 14% higher than that of non-focused on clients, showing that the social structure of focused on clients' companions have a tendency to be less associated and less entangled than that of non-focused on clients.

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"Detecting Stress Based on Social Interactions in Social Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.306-311, September-2018, Available :http://www.jetir.org/papers/JETIRE006051.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Detecting Stress Based on Social Interactions in Social Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp306-311, September-2018, Available at : http://www.jetir.org/papers/JETIRE006051.pdf

Publication Details

Published Paper ID: JETIRE006051
Registration ID: 187677
Published In: Volume 5 | Issue 9 | Year September-2018
DOI (Digital Object Identifier):
Page No: 306-311
Country: Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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