关键词: 微博, 题词, 语义共现图, 新闻话题识别

Abstract: A method of news topics detection from large-scale short posts of microblogs is proposed. The TF-IDF, the document frequency increase rate and the named entity recognition are considered to extract new keywords from microblogs after pretreatment. A semantic co-occurrence graph is build by co-occurrence degrees of keywords, each unconnected cluster in a semantic co-occurrence graph is taken as a news topic. Experiments are taken on Sina microblogs data sets and the experimental results show the proposed method works well.

Key words: microblog, keywords, semantic co-occurrence graph, news topic detection