基于网络社交媒体的子话题检测技术综述

在当前多种平台崛起的互联网背景下,与传统媒体相比,网络社交媒体中的数据具有传递速度快、用户参与度高、内容覆盖全等特点,其中存在着人们关注并发布评论的众多话题,而一个话题的相关信息中可能存在更深层次、更细粒度的子话题,针对该问题进行基于网络社交媒体的子话题检测技术的研究,这是一个新兴且不断发展的研究领域。通过社交媒体获取话题及子话题信息并参与讨论,这一方式正全方位、深层次改变着人们的生活,但是该领域技术还不成熟,且相关研究在国内尚处于起步阶段。首先,简述网络社交媒体中子话题检测的发展背景和基本概念;其次,将子话题检测技术分为七大类,对每类方法均加以介绍、对比和总结;然后,将子话题检测方式分为在线检测和离线检测两种方式,并将这两种方式进行对比,列举通用技术及两种方式下的常用技术;最后,概括了该领域当前不足及未来发展趋势。

Survey of sub-topic detection technology based on internet social media

The data in internet social media has the characteristics of fast transmission, high user participation and complete coverage compared with traditional media under the background of the rise of various platforms on the internet.There are various topics that people pay attention to and publish comments in, and there may exist deeper and more fine-grained sub-topics in the related information of one topic. A survey of sub-topic detection based on internet social media, as a newly emerging and developing research field, was proposed. The method of obtaining topic and sub-topic information through social media and participating in the discussion is changing people’s lives in an all-round way. However, the technologies in this field are not mature at present, and the researches are still in the initial stage in China. Firstly, the development background and basic concept of the sub-topic detection in internet social media were described. Secondly, the sub-topic detection technologies were divided into seven categories, each of which was introduced, compared and summarized. Thirdly, the methods of sub-topic detection were divided into online and offline methods, and the two methods were compared, then the general technologies and the frequently used technologies of the two methods were listed. Finally, the current shortages and future development trends of this field were summarized.