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Keyword Suggestion in the Central Portal of Czech Libraries
Balaga, Róbert ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis deals with various methods of keyphrase extraction from documents, specifically focused on documents from the Central Portal of Czech Libraries. Various methods from statistical, linguistic and graph-based methods have been implemented. Also a new method was suggested, that combines the statistical and linguistic approach. Individual methods have been tested and analyzed according to the standard evaluation metrics, with the suggested method achieving recall of 30 percent.
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Automatic Keyword Extraction in Czech
Gallovič, Ľubomír ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis describes design, implementation and testing of application for automatic keyterm extraction from technical texts in czech language. Multiple algorithms for candidate selection, as well as various statistical and linguistic methods for score calculation were implemented. All of these algorithms were analyzed and compared, and best performing ones were chosen to be included in the final version of the program.
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Keyword Suggestion in the Central Portal of Czech Libraries
Balaga, Róbert ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis deals with various methods of keyphrase extraction from documents, specifically focused on documents from the Central Portal of Czech Libraries. Various methods from statistical, linguistic and graph-based methods have been implemented. Also a new method was suggested, that combines the statistical and linguistic approach. Individual methods have been tested and analyzed according to the standard evaluation metrics, with the suggested method achieving recall of 30 percent.
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Automatic Keyword Extraction in Czech
Gallovič, Ľubomír ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
This thesis describes design, implementation and testing of application for automatic keyterm extraction from technical texts in czech language. Multiple algorithms for candidate selection, as well as various statistical and linguistic methods for score calculation were implemented. All of these algorithms were analyzed and compared, and best performing ones were chosen to be included in the final version of the program.
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