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
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;
Conference_Titel :
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-5877-5
DOI :
10.1109/FUZZY.2000.839070
