首页    期刊浏览 2024年11月26日 星期二
登录注册

文章基本信息

  • 标题:Ranking With Cluster-Based Non-Segregated Approach to Multi-Document Categorization
  • 本地全文:下载
  • 作者:T.Sathish kumar ; V.Sharmila
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:2
  • 页码:1346-1348
  • 出版社:TechScience Publications
  • 摘要:To summarization of one or more document aims to create a strong summary while retaining the main characteristics of the original set of documents. To cover a number of topic with each theme represented by a cluster of highly related sentences. Sentence clustering is used, it directly generates clusters integrated with ranking. Ranking distribution for sentence in each and every cluster is different in nature which may serve as features of clusters and new clustering measures of sentences can be calculated. To improve the performance of summarization, we will focus on the Influence of document and Proper information Such as Document cluster and Topic query
  • 关键词:SentenceRanking(globalranking;conditonalranking;);sentence clustering; MultiDocument summarization
国家哲学社会科学文献中心版权所有