网络社区语言特征及其与社区接受的关系
Characterizing the Language of Online Communities and its Relation to Community Reception
摘要：
这项工作调查的风格和主题方面的语言在网上社区：看两个效用作为社区的标识符和相关性与社区接收的内容。风格的特点是使用一个混合的词和词性标记n-gram语言模型，而主题表示使用潜在的狄利克雷分配。对几个Reddit论坛的实验表明，风格是比主题更好的社区身份指标，即使是围绕特定主题组织的社区。此外，社区对贡献的接受程度与该社区的风格相似性之间存在正相关关系，但主题相似性并非如此。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
