Use of a weighted topic hierarchy for document classification?

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

Abstract

© Springer-Verlag Berlin Heidelberg 1999. A statistical method of document classification driven by a hierarchical topic dictionary is proposed. The method uses a dictionary with a simple structure and is insensible to inaccuracies in the dictionary. Two kinds of weights of dictionary entries, namely, relevance and discrimination weights are discussed. The first type of weights is associated with the links between words and topics and between the nodes in the tree, while the weights of the second type depend on user database. A common sense-complaint way of assignment of these weights to the topics is presented. A system for text classification Classifier based on the discussed method is described.
Original languageAmerican English
Title of host publicationUse of a weighted topic hierarchy for document classification?
Pages133-138
Number of pages119
ISBN (Electronic)3540664947, 9783540664949
DOIs
StatePublished - 1 Jan 1999
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2014 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1692
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/14 → …

Fingerprint

Document Classification
Glossaries
Text Classification
Statistical methods
Classifiers
Statistical method
Discrimination
Assignment
Classifier
Hierarchy
Dictionary
Vertex of a graph

Cite this

Gelbukh, A., Sidorov, G., & Guzman-Arénas, A. (1999). Use of a weighted topic hierarchy for document classification? In Use of a weighted topic hierarchy for document classification? (pp. 133-138). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1692). https://doi.org/10.1007/3-540-48239-3_24
Gelbukh, Alexander ; Sidorov, Grigori ; Guzman-Arénas, Adolfo. / Use of a weighted topic hierarchy for document classification?. Use of a weighted topic hierarchy for document classification?. 1999. pp. 133-138 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Gelbukh, A, Sidorov, G & Guzman-Arénas, A 1999, Use of a weighted topic hierarchy for document classification? in Use of a weighted topic hierarchy for document classification?. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1692, pp. 133-138, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1/01/14. https://doi.org/10.1007/3-540-48239-3_24

Use of a weighted topic hierarchy for document classification? / Gelbukh, Alexander; Sidorov, Grigori; Guzman-Arénas, Adolfo.

Use of a weighted topic hierarchy for document classification?. 1999. p. 133-138 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1692).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Gelbukh A, Sidorov G, Guzman-Arénas A. Use of a weighted topic hierarchy for document classification? In Use of a weighted topic hierarchy for document classification?. 1999. p. 133-138. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/3-540-48239-3_24