Document terms with same statistical properties

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

Statistical analysis prior to processing queries in text mining is important and can help text searching methods to perform better. In this paper descriptive analysis and non-parametric ANOVA are presented for Term Document frequency matrix showing the significance of different terms and their paired comparisons. This will filter and reduce the number of the terms and can be significantly contributed to faster and efficient searching results.
Original languageEnglish
Title of host publicationProceedings of the 2011 World Academy of Science, Engineering and Technology Conference (WASET 2011), December 21-23, 2011, Phuket, Thailand
PublisherWorld Academy of Science, Engineering and Technology
Pages1697-1698
Number of pages2
Publication statusPublished - 2011
EventWorld Academy of Science, Engineering and Technology. Conference -
Duration: 21 Dec 2011 → …

Publication series

Name
ISSN (Print)2010-376X

Conference

ConferenceWorld Academy of Science, Engineering and Technology. Conference
Period21/12/11 → …

Fingerprint

Dive into the research topics of 'Document terms with same statistical properties'. Together they form a unique fingerprint.

Cite this