Analysis of User Reviews of Dingxiang Doctor APP Based on Text Mining

Corresponding author: baixueyan, 1586152392@qq.com

DOI: 10.12201/bmr.202109.00013

•  

  Abstract: Abstract: Objectivethe survey is To perform sentiment analysis on Dingxiang Doctor APP Apple Store comment text and to provide suggestions for medical APP operation. Method Use Octopus collector to collect comment text, use ROST-CM6.0 word segmentation, word frequency analysis, and semantic network analysis, sentiment analysis to analyze factors affecting APP user satisfaction. Results Sample comments accounted for 67.52% of positive emotions, 18.87% of neutral emotions, and 13.61% negative emotions. The main factors affecting user satisfaction are doctors, followed by platforms and services. APP has low user satisfaction in terms of response timeliness. Conclusion The sentiment analysis method is used to conduct text analysis on the online comments of Dingxiang Doctor APP users, and suggestions are made to improve user satisfaction.

  Key words: Dingxiang Doctor APP; ROST data mining system; image perception； content analysis

  Submit time: 8 October 2021

  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

• He Chang, Luo Bin-yu, Li Rui, Li Xiao, Wang Qiu-ying, Zhao Jing. Research on the Strategies of Intelligent Family Doctor APP to Improve the Quality and Efficiency ofPrimary-Level TCM Services. 2020. doi: 10.12201/bmr.202004.00035

  Li Wei, Shen li, Wu qing, liu wei. Research on the Readability and Content Analysis of Privacy Policy of Mobile Medical Apps. 2021. doi: 10.12201/bmr.202109.00012

  Yang Ying, Li Zizheng, Cao Shu, Cui Lei. Analysis of the Procedure of Realization AND the Significance of Bi-Clustering in Medical Text Mining. 2020. doi: 10.12201/bmr.202012.00003

  ZhaiYunkai, ZhangRan, LuWei, ZhaoJie. Research on the influence of interactive perception on the willingness of the inviting doctor to continue to participate in telemedicine. 2020. doi: 10.12201/bmr.202007.00022

  wang xuan, huang tao. Study on characteristics of patients and agent consultation in online healthcare consultation: A case study of dxy.com. 2021. doi: 10.12201/bmr.202109.00033

  lifeiteng, Yangxiaoyan. An analysis of the development status and problems of mobile health APPs from the perspective of public health. 2020. doi: 10.12201/bmr.202005.00247

  HAO Tian-ran, LI Ying. Research on 28 pilot project of long-term care insurance in China -- based on content analysis. 2021. doi: 10.12201/bmr.202105.00014

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

  MU Yan, WU Min, SONG Kuimeng, HE Youqin. Analysis on the Regional Application and Development Policies of Healthcare Big Data Based on Policy Text Measurement. 2020. doi: 10.12201/bmr.202011.00010

  HUANG Yucheng, YANG Xuming, QIAO Qiong. Establishing a model based on data mining for predicting the recurrence factor of breast cancer. 2020. doi: 10.12201/bmr.202009.00011

• ID	Submit time	Number	Download
  1	2021-09-13	bmr.202109.00013V1	Download

• Public  Anonymous  To author only Submit Comments