This paper is in the following e-collection/theme issue:

Natural Language Processing (875) Advanced Data Analytics in eHealth (198) Machine Learning (1996) New Technologies (106) Secondary Use of Clinical Data for Research and Surveillance (458) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1882) Artificial Intelligence (2015)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59249, first published .
Analyzing Patient Experience on Weibo: Machine Learning Approach to Topic Modeling and Sentiment Analysis

Analyzing Patient Experience on Weibo: Machine Learning Approach to Topic Modeling and Sentiment Analysis

Analyzing Patient Experience on Weibo: Machine Learning Approach to Topic Modeling and Sentiment Analysis

Authors of this article:

Xiao Chen1 Author Orcid Image ;   Zhiyun Shen1 Author Orcid Image ;   Tingyu Guan1 Author Orcid Image ;   Yuchen Tao1 Author Orcid Image ;   Yichen Kang1 Author Orcid Image ;   Yuxia Zhang1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Villanueva-Miranda I, Xie Y, Xiao G. Sentiment analysis in public health: a systematic review of the current state, challenges, and future directions. Frontiers in Public Health 2025;13 View
  2. Shankar R, Yip A. Sentiment analysis and topic modeling of social media data to explore public discourse on irritable bowel syndrome. Scientific Reports 2025;15(1) View
  3. Yu X, Huang H, Lin K, Wang H, Zheng S, Ran X, Liu Y, Wu H, Nashwan A. Exploring the Determinants of Patient Experiences Using the Digital Topic Modeling Approach. Journal of Nursing Management 2025;2025(1) View
  4. Ping W, Bai Z, Tao Y. Dual-Channel ADCMix–BiLSTM Model with Attention Mechanisms for Multi-Dimensional Sentiment Analysis of Danmu. Technologies 2025;13(8):353 View