System for automatically classifying documents by category learning using a genetic algorithm and a term cluster and method thereof
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United States of America Patent
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Issued Date -
Jun 20, 2002
app pub date -
Apr 30, 2001
filing date -
Dec 19, 2000
priority date (Note) -
Abandoned
status (Latency Note)
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Abstract
The present invention relates to automatic document classification system and method by which categories for fields is learned in a genetic learning classifier for performing a learning process using a genetic algorithm, and documents are classified into respective field categories by inputting term clusters for a keyword of the documents in the genetic learning classifier, and a system for allowing a user to store a search word used in the search in a user profile and to input the keyword to the genetic learning classifier to determine an interested field of the user. The present invention can be utilized in an automatic classification of the document in a directory service used in the wet search system. Therefore, the present invention can improve the search efficiency by utilizing an interested field of the user when the user searches the search result later. As the present invention can learn the category and perform a learning process when a new field is generated, the system may provide an immediate and prompt service. Further, as the present invention can provide a field category for the search word that is to be used by the user, it can prevent the search result for homonyms and thus provide more exact search result.
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