Research on Behavioral characteristics of online healthy community participation in depressed populations based on sentiment analysis

Corresponding author: Xiang Fei, xiangfei@hust.edu.cn

DOI: 10.12201/bmr.202211.00001

•  

  Abstract: Based on theme mining and sentiment analysis methods, the characteristics of online health community participation behavior of users with different emotional tendencies are explored, which provides a theoretical basis for the platform to carry out depressive mood management and intervention, and provides ideas for the characteristic services of depression prevention and treatment.

  Key words: Depressive tendencies; Sentiment analysis; LDA; Online health communities

  Submit time: 8 November 2022

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
• html

• 图表

• Li Jinsheng, Fan Tingting, Li Xuanze, Gong Jiale. Research on The Influence Factors of Online Health Community’s Information Usefulness Evaluation. 2020. doi: 10.12201/bmr.202008.00016

  Guo Yi, Gong Liyue, Hu Dehua. Research on the Influencing Factors of Users Continuance Intention of Online Health Communities--Based on the Integrated Model. 2021. doi: 10.12201/bmr.202110.00041

  ZHOU JUNJIE. Research on Users’ health Knowledge Sharing Behavior in OHCs：The Impacts of Users’ Attributes and Their Positions in Social Network Structure. 2020. doi: 10.12201/bmr.202005.00246

  XuZhongyang, Shangshan. User Experience Evaluation of Online Health Community Based on Fuzzy Analytic Hierarchy Process. 2020. doi: 10.12201/bmr.202009.00004

  XuZhongyang, LOU Haiping. Research on User Demands for Medical and Health Services in Online Health Communities——Take Hangzhou as an example. 2021. doi: 10.12201/bmr.202101.00005

  wuzhentao, wutailai. An Research on the Influencing factors for patients’ distrust of doctors in online health community. 2021. doi: 10.12201/bmr.202105.00007

  ruanxuling, liuqi, guo zhiheng, yanjunfeng. Research on prediction model of breast cancer based on LDA and XGBoost algorithm. 2022. doi: 10.12201/bmr.202106.00007

  He Hong, Wang Pan, Yan Chen-yu, Wang Xin, Zhang Lin-zi. Intergenerational transmission of depression in adolescents from the perspective of family-centered health promotion: An empirical analysis based on CFPS 2018. 2022. doi: 10.12201/bmr.202209.00003

  Hu An-qi, Ji Shun-quan. Research on Social Co-governance of Health Information Service Supply Subject——An Analysis of Online Health Information Service Platform. 2020. doi: 10.12201/bmr.202012.00001

  DU Ben-feng, GENG Rui, MU Yue-xuan, HAO Xin, WANG Jing-wen. Childhood Family Dysfunction and Depression in the Elderly: Impact Contribution, Cumulative Effect and Influence mechanism. 2022. doi: 10.12201/bmr.202111.00022

• ID	Submit time	Number	Download
  1	2022-10-11	bmr.202211.00001V1	Download

• Public  Anonymous  To author only Submit Comments