Title :
Evidence based similarity for document categorization
Author :
Mohamed, Rozlini ; Watada, Junzo
Author_Institution :
Grad. Sch. of Inf., Production & Syst., Waseda Univ., Fukuoka, Japan
Abstract :
The failure of effective information management over the web does not influence only on by the speed of information retrieval; but also influenced by individual and organizational activities. Thus, the search engine of information retrieval plays a pivotal role in retrieving results that are relevant to users´ query. Categorization is an optimist alternative to improve the accuracy and speed of information retrieval. This paper proposes a method using evidential reasoning based on similarity for text categorization. Term and frequency of term has influenced the process of deciding the document category. In order to define a new category for new document, our proposed method has taking degree similarities into consideration.
Keywords :
Internet; information retrieval; search engines; text analysis; Web; document categorization; evidence based similarity; information management; information retrieval; search engine; text categorization; categorization; evidential reasoning; latent semantic analysis; similarity;
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824