67 citations · 89 across the 5 of their papers we have counts for
5 papers
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…
Detecting Suicidal Ideation in Chinese Microblogs with Psychological Lexicons
Xiaolei Huang, Lei Zhang, Tianli Liu +3
Suicide is among the leading causes of death in China. However, technical approaches toward preventing suicide are challenging and remaining under development. Recently, several ac…
Identifying Social Satisfaction from Social Media
Shuotian Bai, Rui Gao, Bibo Hao +2
We demonstrate the critical need to identify social situation and instability factors by acquiring public social satisfaction in this research. However, subject to the large amount…
Big-Five Personality Prediction Based on User Behaviors at Social Network Sites
Shuotian Bai, Tingshao Zhu, Li Cheng
Many customer services are already available at Social Network Sites (SNSs), including user recommendation and media interaction, to name a few. There are strong desires to provide…