北京邮电大学学报(社会科学版) ›› 2012, Vol. 14 ›› Issue (5): 5-8.

• 网络文化 • 上一篇    下一篇

高校网络社区舆论搜集中同义词分词器的实现

  

  1. (昭通师范高等专科学校  计算机科学系,云南 昭通657000)
  • 出版日期:2012-10-31 发布日期:2023-03-27
  • 基金资助:

    云南省教育厅科学研究基金(2012C180,2012Y437)

Design and Implementation of Analyzer Based on Synonyms in College Online Community

  1. (Department of Computer Science, Zhaotong Teacher’s College, Zhaotong 657000, China)
  • Online:2012-10-31 Published:2023-03-27

摘要:

高校网络社区是获取学生思想动态、价值理念、个性心理、政治倾向的新阵地,信息化、精准化、科学化收集高校网络社区舆论的发展动态,为学生思想政治工作提供科学化的决策,促进和谐校园建设是新时期高校德育工作的一项重要课题。当前我国社会处于高速发展期和转型期,网络信息呈爆炸式增长,导致学生思想网络交流中出现大量的网络同义词,学生思想动态信息的精准性和有效性是决策者采取引导措施的基础。利用分词器来完成对学生网络思想交流中同义词信息的统计,从而实现同义词分词器更加精确、科学地获取网络社区舆论的发展动态信息。

关键词: 高校网络社区, 思想动态 , Lucene 分词, 同义检索

Abstract:

The college online community is one of the major platforms for accessing student’s value orientation, mental characteristics and political tendency How to collect development trend of college online community accurately and scientifically, to provide scientific decision for students’ political and ideological education and to promote the construction of harmonious campus has been an important topic on colleges’ moral education in the new era Full text retrieval is the main technology to get data to do data mining, while to get retrieving information accurately in full text retrieval is the basis of data mining In different situations, doing synonyms retrieval is one of the important demands to get retrieving data Using analyzer to calculate synonyms information during online communication will make analyzer more accurate, and users can obtain development dynamics scientifically of online community 

Key words: college online community; , ideological trend, Lucene analyzer, synonyms retrieval

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