DocumentCode
351357
Title
A fuzzy similarity approach in text classification task
Author
Widyantoro, Dwi H. ; Yen, John
Author_Institution
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
Volume
2
fYear
2000
fDate
2000
Firstpage
653
Abstract
We present a fuzzy similarity approach to address a text classification problem. The effectiveness of several fuzzy conjunction and disjunction operators used in a fuzzy similarity formula and on several document representations were evaluated using test sets from three text document collections. Based on empirical results obtained from using these collections, a special case of the fuzzy similarity formula performs very well
Keywords
fuzzy logic; fuzzy set theory; information retrieval; document representations; fuzzy conjunction operators; fuzzy disjunction operators; fuzzy similarity approach; text classification task; text document collections; Clustering algorithms; Computer science; Fuzzy sets; Internet; Quadratic programming; Support vector machine classification; Support vector machines; Testing; Text categorization; Web sites;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1098-7584
Print_ISBN
0-7803-5877-5
Type
conf
DOI
10.1109/FUZZY.2000.839070
Filename
839070
Link To Document