International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,March 2018,

Topic : Detecting Stress Based on Social Interactions in Social Networks

Authors:K.Maheswari || K.Soundari, K.T.Sanjiv, S.Rama priya

Abstract:Mental pressure is undermining individuals' wellbeing. It is non-unimportant to distinguish pressure opportune for proactive care. With the prominence of web-based social networking, individuals are accustomed to imparting their day by day exercises and associating to companions via web-based networking media stages, making it doable to use online interpersonal organization information for push discovery. It is find that clients push state is firmly identified with that of his/her companions in online networking, and a huge scale dataset from certifiable social stages is utilized to deliberately ponder the relationship of clients' pressure states and social collaborations. It is first characterized an arrangement of stress-related literary, visual, and social properties from different angles, and after that propose a novel half breed display – a factor diagram demonstrate joined with Convolutional Neural System to use tweet substance and social connection data for stretch location. In this paper, we find that clients push state is firmly identified with that of his/her companions in online networking. To examine the connection of clients push states and social cooperations with the prominence of online networking , individuals are accustomed to imparting their day by day exercises and collaborating to companions via web-based networking media stage to characterize an arrangement of stress related literary visual and social traits from different perspectives.

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DOI: 01.1617/vol5/iss3/pid93071


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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
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