360 citations · 516 across the 15 of their papers we have counts for
5 papers · 1 filter
Public discourse and sentiment during the COVID-19 pandemic: using Latent Dirichlet Allocation for topic modeling on Twitter
Jia Xue, Junxiang Chen, Chen Chen +3
The study aims to understand Twitter users' discourse and psychological reactions to COVID-19. We use machine learning techniques to analyze about 1.9 million Tweets (written in En…
Recognizing Temporal Linguistic Expression Pattern of Individual with Suicide Risk on Social Media
Aiqi Zhang, Ang Li, Tingshao Zhu
Suicide is a global public health problem. Early detection of individual suicide risk plays a key role in suicide prevention. In this paper, we propose to look into individual suic…
Classify Sina Weibo users into High or Low happiness Groups Using Linguistic and Behavior Features
Jingying Wang, Tianli Liu, Tingshao Zhu +3
It's of great importance to measure happiness of social network users, but the existing method based on questionnaires suffers from high costs and low efficiency. This paper aims a…
Using Linguistic Features to Estimate Suicide Probability of Chinese Microblog Users
Lei Zhang, Xiaolei Huang, Tianli Liu +2
If people with high risk of suicide can be identified through social media like microblog, it is possible to implement an active intervention system to save their lives. Based on t…
How did the Suicide Act and Speak Differently Online? Behavioral and Linguistic Features of China's Suicide Microblog Users
Li Guan, Bibo Hao, Tingshao Zhu
Background: Suicide issue is of great concern in China. Social media provides an active approach to understanding suicide individuals in terms of their behavior and language use. A…