基于位置的社交网络商户数据语义分析

摘要

In recent years, "mobile" and "social" to promote the development of the Internet has become the two key technologies.Under these two technologies, location-based social network (LBSN) have developed rapidly, attracting a large number of users on a global scale, both academia and industry are investing heavily in LBSN research.LBSN sites are location-centric, meaning that any user-generated content, such as sign-in or comment, must be associated with a specific location.Although location information plays an important role in LBSN, the research on LBSN at home and abroad is mainly from the user point of view, the lack of research from the perspective of location.At the same time, the analysis of original user content in LBSN is lack of analysis of text information.The author makes a large-scale data collection on the content of the business comment on the popular online commentary social network-Dianping, and carries out semantic analysis on the large amount of user comment text.%近年来,“移动”和“社交”成为了推动互联网发展的两项关键技术.在这两项技术的共同推动下,基于位置的社交网络LBSN得到了快速发展,在全球范围内吸引了海量的用户,不论是学术界还是工业界都在大力投入对LBSN的研究.LBSN网站都是以位置为中心的,也就是说任何用户原创内容,例如签到或评论,都必须与一个具体位置相关联.尽管位置信息在LBSN中扮演着重要的角色,但是目前国内外针对LBSN的研究基本上都是从用户角度出发的,缺少从位置角度的研究.同时,目前对LBSN中用户原创内容的分析缺少对文本信息的分析,在对目前中国最大的在线点评类社交网络——大众点评上的商家评论内容进行了大规模的数据采集,并针对获取的大量用户评论文本开展了语义分析.