计算机科学与探索2016，Vol.10Issue(4)：573-581,9.DOI:10.3778/j.issn.1673-9418.1509078
基于热度联合排序的微博热点话题发现
Micro-Blog Hot Topic Detection Based on Heat Co-ranking
摘要
Abstract
Micro-blog hot topic detection plays an important role in public opinion analysis and opinion mining. In order to reduce the impact of data sparsity on topic detection, this paper proposes an approach for micro-blog hot topic detection based on heat co-ranking, builds a unified model framework to organically integrate all relationships between micro-blog texts and topic keywords. The authority of micro-blog user and the time-related characteristics of topic keywords are simultaneously considered, and the heat of micro-blog texts and topic keywords gets mutual reinforcement and co-ranking. Topic keywords in hot sequence are clustered by using the combination support confidenceas a threshold. The experimental results show that the proposed method has high accuracy for hot keywords extrac-tion and hot topic detection, can effectively discover micro-blog hot topics in a specific period.关键词
热点话题/微博文本/联合排序/热度序列Key words
hot topic/topic keywords/micro-blog text/co-ranking/heat sequence分类
计算机与自动化引用本文复制引用
刘培玉,侯秀艳,朱振方,刘芳,蔡肖红..基于热度联合排序的微博热点话题发现[J].计算机科学与探索,2016,10(4):573-581,9.基金项目
The National Natural Science Foundation of China under Grant No.61373148(国家自然科学基金) （国家自然科学基金）
the National Social Science Foundation of China under Grant No.12BXW040(国家社科基金) （国家社科基金）
the Outstanding Young Scientist Award Fund of Shandong Prov-ince under Grant No. BS2013DX033(山东省优秀中青年科学家奖励基金) （山东省优秀中青年科学家奖励基金）
the Natural Science Foundation of Shandong Province under Grant No. ZR2012FM038(山东省自然科学基金) （山东省自然科学基金）
the Humanity and Social Science Foundation of the Ministry of Education of China under Grant No.14YJC860042(教育部人文社科基金) （教育部人文社科基金）
the Social Science Planning Project of Shandong Province under Grant No.12BXWJ01(山东省社科规划项目) （山东省社科规划项目）
