MICRO-BLOG CATEGORY BASED ON FEATURE-WORDS CATEGORY DISPERSION

摘要：

　　The micro-blog information classification is an important pretreatment in micro-blog data processing work.Due to the unique properties of the micro-blog text,there are some limitations when use traditional classification to deal with it.Consider to a single microblog text brief which contains less effective feature-words,and the content compare spoken of the features,this paper proposed to use similar words and collocations to extend the text feature-words,reducing the possibility of feature loss.For the feature of information selection and weight calculation,proposed one kind text classification methods which based on the feature-words category dispersion and dispersion degree.The experiments show that the propose classification method achieves good effects in the classification of micro-blog text,and has better applicability in micro-blog text classification scene.

关键词： Micro-blog text classification Term weight Category dispersed Feature-word extension

作者: Yingyou Chen Qing Wu

作者单位: Department of Computer,Hangzhou Dianzi University,Hangzhou 310018,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 134-137

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）