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Experiments with a hierarchical text categorizer

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 28 Feb 2005Publisher:IEEEJournal:2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542), volume 2, pages 1,191-1,196
Authors: Domonkos Tikk; György Biró; Jae Dong Yang;

doi: 10.1109/fuzzy.2004.1375582

Experiments with a hierarchical text categorizer

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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