Searching for Significant Word Associations in Text Documents Using Genetic Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F03%3A00009148" target="_blank" >RIV/00216224:14330/03:00009148 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Searching for Significant Word Associations in Text Documents Using Genetic Algorithms
Original language description
The paper describes experiments that used Genetic Algorithms for looking for important word assocoations (phrases) in unstructured text documents obtained from the Internet in the area of a specialized medicine branch. Genetic alforithms can evolve setsof word associations with assigned significance weights from the document categorization point of view (relevant and irrelevant documents). The categorization is similarly reliable like the naive Bayes classification based on individual words. In addition, genetic algorithms provided phrases consisting of one, two, and three words. The phrases were quite meaningful from the human point of view.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computional Linguistics and Intelligent Text Processing
ISBN
3-540-00532-3
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
584-587
Publisher name
Springer Verlag
Place of publication
Berlin Heidelberg New York
Event location
Mexico City, Mexico
Event date
Jan 1, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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