| 基于转发评论的微博语义扩充和分类方法 |
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| 引用本文： | 刘磊,许志刚,蔡海博,王石.基于转发评论的微博语义扩充和分类方法[J].北京工业大学学报,2015(10):1528-1536. |
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| 作者姓名： | 刘磊 许志刚 蔡海博 王石 |
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| 作者单位： | 北京工业大学 应用数理学院,北京,100124;中国科学院 计算技术研究所 智能信息处理重点实验室,北京,100190 |
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| 基金项目： | 国家自然科学基金资助项目，北京市属高等学校高层次人才引进与培养计划项目，首都社会建设与社会管理协同创新中心项目 |
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| 摘 要： | 为了对微博用户、微博文本和微博评论进行分析和研究,提出了一种基于转发评论的微博语义扩充和分类方法.首先在对微博用户类型分析的基础上将微博分为6种类型;然后以信息发布型微博为研究对象,提出了微博评论选择算法,筛选出微博有效评论;再利用基于转发评论的微博语义扩充和分类(comment-based microblog's semantic expansion and classification,CBMSEC)方法,将微博有效评论信息补充进微博语义,改善微博数据稀疏的问题,提高微博的分类性能.
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| 关 键 词： | 微博 转发评论 语义扩充 短文本分类 |
Microblog' s Semantic Expansion and Classification Method Based on Forwarding Comments |
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| Abstract: | A microblog ' s semantic expansion and classification method was proposed by analyzing and researching microblog users, microblog text and microblog comments based on forwarding comments. Firstly, on the basis of analysis of the type of microblog users, microblogs were classified into six categories. Centered on information-publishing microblogs, a selection algorithm of microblog comments for screening microblog ' s effective comments was proposed. Then by virtue of microblog ' s semantic expansion and classification method based on forwarding comments, microblog ' s effective forwarding information was added into the microblog ' s semantics to improve the data sparseness. Finally, it enhanced the microblog classification performance. |
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| Keywords: | microblog forwarding comment semantic expansion short text classification |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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