About: Text Mining-based Formation of Dictionaries Expressing Opinions in Natural Languages

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Automatic formation of dictionaries containing words significant for expressing different customers' opinions written in natural languages is demonstrated. The research used very large real-world data concerning the hotel accommodation booking via the Internet. The hotel companies could be interested in characteristic words expressing positive and negative opinions because it could help improve the offered service. The suggested method uses unstructured plain text reviews of many customers from different countries. The data is transformed into vectors using the bag-of-words procedure with the word representation by their frequencies in the reviews. Significant words are selected as relevant attributes for the classification to given categories using trained decision trees. Each tree branch leading to a leaf represents a subset of significant words for a category. The individual word importance is weighted by the word frequency in all the branches combined with their occurrence in branches leading to specific categories. As a result, the generated dictionaries contain only a fraction of the original huge vocabulary. The selected words express very well the positive and negative meaning, which is demonstrated for several different languages using the same processing procedure. Automatic formation of dictionaries containing words significant for expressing different customers' opinions written in natural languages is demonstrated. The research used very large real-world data concerning the hotel accommodation booking via the Internet. The hotel companies could be interested in characteristic words expressing positive and negative opinions because it could help improve the offered service. The suggested method uses unstructured plain text reviews of many customers from different countries. The data is transformed into vectors using the bag-of-words procedure with the word representation by their frequencies in the reviews. Significant words are selected as relevant attributes for the classification to given categories using trained decision trees. Each tree branch leading to a leaf represents a subset of significant words for a category. The individual word importance is weighted by the word frequency in all the branches combined with their occurrence in branches leading to specific categories. As a result, the generated dictionaries contain only a fraction of the original huge vocabulary. The selected words express very well the positive and negative meaning, which is demonstrated for several different languages using the same processing procedure. (en)
Title	Text Mining-based Formation of Dictionaries Expressing Opinions in Natural Languages Text Mining-based Formation of Dictionaries Expressing Opinions in Natural Languages (en)
skos:prefLabel	Text Mining-based Formation of Dictionaries Expressing Opinions in Natural Languages Text Mining-based Formation of Dictionaries Expressing Opinions in Natural Languages (en)
skos:notation	RIV/62156489:43110/11:00215946!RIV14-MSM-43110___
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM6215648904)
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Dařena, František Žižka, Jan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Mendelova univerzita v Brně / Provozně ekonomická fakulta
http://linked.open...dnocenehoVysledku	235026
http://linked.open...ai/riv/idVysledku	RIV/62156489:43110/11:00215946
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	natural languages; text mining; opinion analysis; significant words; machine learning; decision tree (en)
http://linked.open.../riv/klicoveSlovo	text mining machine learning decision tree natural languages opinion analysis significant words
http://linked.open...ontrolniKodProRIV	[CA8DAFF86CD3]
http://linked.open...v/mistoKonaniAkce	Brno
http://linked.open...i/riv/mistoVydani	Brno
http://linked.open...i/riv/nazevZdroje	Mendel 2011: 17th International Conference on Soft Computing
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Žižka, Jan Dařena, František
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open...ain/vavai/riv/wos	302647900059
http://linked.open.../riv/zahajeniAkce	2011-01-01 (xsd:date)
http://linked.open...n/vavai/riv/zamer	The Czech Economy in the Process of Integration and Globalisation, and the Development of Agricultural Sector and the Sector of Services under the New Conditions of the Integrated European Market
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Vysoké učení technické v Brně
https://schema.org/isbn	978-80-214-4302-0
http://localhost/t...ganizacniJednotka	43110

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