期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：3
出版社：IJCSI Press
摘要：The developments in storage devices and computer networks have given the scope for the world to become a paperless community, for example Digital news paper systems and digital library systems. A paperless community is heavily dependent on information retrieval systems. Text summarization is an area that supports the cause of information retrieval systems by helping the users to get their needed information. This paper discusses on the relevance of using traditional stoplists for text summarization and the use of Statistical analysis for sentence scoring. A new methodology is proposed for implementing the stoplist concept and statistical analysis concept based on parts of speech tagging. A sentence scoring mechanism has been developed by combining the above methodologies with semantic analysis. This sentence scoring method has given good results when applied to find out the relation between natural language queries and the sentences in a document.
关键词：Information retrieval systems; traditional stoplists; sentence scoring; statistical analysis; semantic analysis; parts of speech tagging.
