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Social Interactions for Detecting Stress Based Issues

Mr. S Nagaraju, Mr. B. Prabhakara Reddy

Abstract


Mental stress is showing harmfulness to human health leads abnormal stress in chronology with this may lose our mental health for proactive care. With recognizable pieces of proof of web-based media, individuals cannot share their everyday exercises and collaborate with companions via web-based media stages, making it happing to use online informal community information for stress identification. We find that users stress state is closely associated with thereupon of his/her friends in social media, which we employ a large-scale dataset from real-world social platforms to systematically study the relationship between users’ stress states and social interactions. We first define a gaggle of stress-related comments, images, and social attributes from various aspects, then proposed a plot. Research results saying that the proposed model can improve the detection performance. With the help of enumeration, we build an internet site for the users to spot their stress rate level and may check other related activities.


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References


Chris Buckley & Ellen M Voorhees. (2004). Retrieval evaluation with incomplete information. Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Available at: https://doi.org/10.1145/1008992.1009000.

Xiaojun Chang, et al. (2015). Semantic concept discovery for large-scale zero-shot event detection. Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, Available at: https://www.ijcai.org/Proceedings/15/Papers/316.pdf.

Wanxiang Che, Zhenghua Li & Ting Liu. (2010). LTP: A chinese language technology platform. Proceedings of International Conference on Computational Linguistics, Available at: https://aclanthology.org/C10-3004/.

Chih Chung Chang & Chih-Jen Lin. (2011). LIBSVM: A library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2(3), 1-27, Available at: https://doi.org/10.1145/1961189.1961199.

Dan C Ciresan, et al. (2011). Flexible, high performance convolutional neural networks for image classification. Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, Available at: https://people.idsia.ch//~juergen/ijcai2011.pdf.

Sheldon Cohen & Thomas A. W. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310-357, Available at: https://pubmed.ncbi.nlm.nih.gov/3901065/.

Glen Coppersmith, Craig Harman & Mark Dredze. (2014). Measuring post-traumatic stress disorder in twitter. Proceedings of the International Conference on Weblogs and Social Media, Available at: https://www.cs.jhu.edu/~mdredze/publications/2014_icwsm_ptsd.pdf.

Rui Fan, Jichang Zhao, Yan Chen, et al. (2014). Anger is more influential than joy: Sentiment correlation in weibo. PLoS One, Available at: https://doi.org/10.1371/journal.pone.0110184.

Zhanpeng Fang, et al. (2014). Modeling paying behavior in game social networks. Proceedings of the Twenty-Third Conference on Information and Knowledge Management, Available at: http://dx.doi.org/10.1145/2661829.2662024

Golnoosh Farnadi, et al. (2016). Computational personality recognition in social media. User Modeling and User Adapted Interaction, 26, 109-142, Available at: https://doi.org/10.1007/s11257-016-9171-0.

Eileen Fischer & A. Rebecca Reuber. (2011). Social interaction via new social media: (How) can interactions on twitter affect effectual thinking and behavior? Journal of Business Venturing, 26(1), 1-18, Available at: https://doi.org/10.1016/j.jbusvent.2010.09.002.

Jerome H. Friedman. (2001). Greedy function approximation: A gradient boosting machine. Annals of Statistics, 29(5), 1189-1232, Available at: https://doi.org/10.1214/aos/1013203451.

Rui Gao, et al. (2013). Developing simplified chinese psychological linguistic analysis dictionary for microblog. International Conference on Brain and Health Informatics, Available at: https://link.springer.com/chapter/10.1007/978-3-319-02753-1_36.




DOI: http://dx.doi.org/10.46610/JOITS.2021.v07i03.001

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