Traditional methods for identifying communities in networks are based on direct link structures, which ignore the content information shared among groups of ...
STC: A Joint Sentiment-Topic Model for Community Identification ; Trends and Applications in Knowledge Discovery and Data Mining.
This paper proposes two novel community discovery models by combining social links, author based topics and sentiment information to identify communities ...
"STC: A Joint Sentiment-Topic Model for Community Identification." In Lecture Notes in Computer Science, 535–48. Cham: Springer International Publishing ...
As an LDA-based model, Joint Sentiment-Topic (JST) examines the impact of topics and emotions on words. The emotion parameter is insufficient, and additional ...
Missing: STC: Community
May 1, 2020 · In this paper, we propose a user group based topic-emotion model named UGTE for emotions detection and topic discovery, which can alleviate the ...
Experiment results on several social communication datasets, including emails and Twitter messages, demonstrate that the model can discover users' communities ...
Stc: A joint sentiment-topic model for community identi- fication. In W.-C. Peng, H. Wang, J. Bailey, V. S. Tseng, T. B. Ho, Z.-H. Zhou, and A. L.. Chen ...
STC: A Joint Sentiment-Topic Model for Community Identification · Baoguo Yang ... community model, but also can identify communities with different topic- ...