2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.SI2020
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…
cs.SI2015★ 2 cited
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…