Analysis of HIV high-risk population characteristics with Baidu Tieba data
The textual content and temporal pattern of online activities for users gathered in the “Fear of HIV Bar” of Baidu Tieba were analyzed. LDA topic model was used to analyze the main differences between topics discussed among HIV-infected people and non-HIV-infected people. A machine learning method b...
Saved in:
| Main Authors: | Shiyao XIAO, Wei LYU, Saran CHEN, Shuo QIN, Ge HUANG, Mengsi CAI, Yuejin TAN, Xu TAN, Xin LU |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2019-01-01
|
| Series: | 大数据 |
| Subjects: | |
| Online Access: | http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2019008 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Deep learning models for hepatitis E incidence prediction leveraging Baidu index
by: Yanhui Guo, et al.
Published: (2024-10-01) -
Assessing the impact of COVID-19 on residents’ activities using baidu heat map data: from the lockdown era to the post-pandemic era
by: Jinyu Zhang, et al.
Published: (2025-08-01) -
Protective effect of Huashi Baidu formula against AKI and active ingredients that target SphK1 and PAI-1
by: Yute Zhong, et al.
Published: (2024-11-01) -
Infertility trends in China: analyzing temporal changes, public demand, and demographic differences based on Baidu index
by: Xun Li, et al.
Published: (2025-07-01) -
Temperature influences mood: evidence from 11 years of Baidu index data in Chinese provincial capitals
by: Mengjiao Yin, et al.
Published: (2025-05-01)