360 citations · 516 across the 15 of their papers we have counts for
15 papers
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…
Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications
Xiaowei Zhang, Chi Xu, Yu Zhang +2
This paper studies the problem of multivariate linear regression where a portion of the observations is grossly corrupted or is missing, and the magnitudes and locations of such oc…
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…
Recognition of Brain Waves of Left and Right Hand Movement Imagery with Portable Electroencephalographs
Zhen Li, Jianjun Xu, Tingshao Zhu
With the development of the modern society, mind control applied to both the recovery of disabled individuals and auxiliary control of normal people has obtained great attention in…
Prediction of Brain States of Concentration and Relaxation in Real Time with Portable Electroencephalographs
Zhen Li, Jianjun Xu, Tingshao Zhu
In our research, we attempt to help people recognize their brain state of concentration or relaxation more conveniently and in real time. Considering the inconvenience of wearing t…
Identifying Emotion from Natural Walking
Liqing Cui, Shun Li, Wan Zhang +2
Emotion identification from gait aims to automatically determine persons affective state, it has attracted a great deal of interests and offered immense potential value in action t…
Recognition of Emotions using Kinects
Shun Li, Changye Zhu, Liqing Cui +3
Psychological studies indicate that emotional states are expressed in the way people walk and the human gait is investigated in terms of its ability to reveal a person's emotional…
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…
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…
Sensing Subjective Well-being from Social Media
Bibo Hao, Lin Li, Rui Gao +2
Subjective Well-being(SWB), which refers to how people experience the quality of their lives, is of great use to public policy-makers as well as economic, sociological research, et…
Cyber Behavior of Microblog Users: Onlies Versus Others
Dong Nie, Bibo Hao, Zheng Yan +1
Much research has been conducted to investigate personality and daily behavior of these only children ('Onlies') due to the Chinese one-child-per-family policy, and report the sing…
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…