2016/09/15 by Trang Tran, Tran, Trang, Mari Ostendorf +1 · 2 citations
Computer Science · Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling #Wikis in Education and Collaboration #cs.CL
paper · pdf · doi:10.48550/arxiv.1609.04779
EMNLP 2016
arxiv created 2016/09/15 · openalex publication_date 2016/09/15 · arxiv updated 2016/09/16 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28
This work investigates style and topic aspects of language in online communities: looking at both utility as an identifier of the community and correlation with community reception of content. Style is characterized using a hybrid word and part-of-speech tag n-gram language model, while topic is represented using Latent Dirichlet Allocation. Experiments with several Reddit forums show that style is a better indicator of community identity than topic, even for communities organized around specific topics. Further, there is a positive correlation between the community reception to a contribution and the style similarity to that community, but not so for topic similarity.