基于转发评论的微博语义扩充和分类方法

    Microblog's Semantic Expansion and Classification Method Based on Forwarding Comments

    • 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.

       

      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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