DocumentCode
2248937
Title
Experiments with a hierarchical text categorizer
Author
Tikk, Domonkos ; Biró, György ; Yang, Jae Dong
Author_Institution
Dept. of Telecom. & Media Inf., Budapest Univ. of Technol. & Econ., Hungary
Volume
2
fYear
2004
fDate
25-29 July 2004
Firstpage
1191
Abstract
HITEC is a hierarchical text categorizer tool that is based on UFEX (universal feature extractor) algorithm. This paper presents experiments on the effectiveness of HITEC on several natural languages (English, German) and with various kinds of text corpora. The obtained results show that HITEC outperforms its known competitors on the investigated corpora, and its performance is independent from the processed languages. The time and storage requirement of HITEC is considerable, therefore it can be run on an average PC.
Keywords
feature extraction; natural languages; text analysis; English language; German language; HITEC; hierarchical text categorizer tool; natural languages; text corpora; universal feature extractor; Databases; Feature extraction; Informatics; Internet; Natural languages; Power generation economics; Taxonomy; Telecommunications; Text categorization; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
ISSN
1098-7584
Print_ISBN
0-7803-8353-2
Type
conf
DOI
10.1109/FUZZY.2004.1375582
Filename
1375582
Link To Document