Building associated semantic representation model for the ultra-short microblog text jumping in big data
作者: Shunxiang ZhangYin WangShiyao ZhangGuangli Zhu
作者单位: 1Anhui University of Science and Technology
刊名: Cluster Computing, 2016, Vol.19 (3), pp.1399-1410
来源数据库: Springer Nature Journal
DOI: 10.1007/s10586-016-0602-9
关键词: Ultra-short microblog textMulti-layer associated semantic viewDynamic time windowAssociated semantic representation modelClustering coefficient
英文摘要: Abstract(#br)In the massive microblog texts, the ultra-short microblog text is difficult to be independently understood because of its special characteristics such as data sparseness, content fragmentation and so on. To solve this problem, this paper presents an associated semantic representation model for the ultra-short microblog text (ASRM-UMT) to help users understand it better. First, multi-layer associated semantic views of the ultra-short microblog text are built. The ICTCLAS system is adopted to extract the feature keywords from microblog texts. The mining algorithm of associated semantic on a dynamic time window is proposed to mine the associated semantic relations among the feature keywords. The mining process has deeply considered three aspects including context, comments and...
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影响因子:0.776 (2012)

  • representation 表现
  • jumping 脱轨
  • associated 相关的
  • semantic 语义上的
  • ultra 
  • short 短的
  • model 模型