About: Approaches to Samples Selection for Machine Learning Based Classification of Textual Data

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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	The paper focuses on the process of selecting representative sample documents written in a natural language that can be used as the basis for automatic selection or classification of textual documents. A method of selecting the examples from a larger set of candidate examples, called automatic biased sample selection, is compared to random and manual selection. The methods are evaluated by experiments carried out with real world data consisting of customer reviews, with different document representations and similarity measures. The presented approach, that provided satisfactory results, faces problems related to processing user created content and huge computational complexity and can be used as an alternative to manual selection and evaluation of textual samples. The paper focuses on the process of selecting representative sample documents written in a natural language that can be used as the basis for automatic selection or classification of textual documents. A method of selecting the examples from a larger set of candidate examples, called automatic biased sample selection, is compared to random and manual selection. The methods are evaluated by experiments carried out with real world data consisting of customer reviews, with different document representations and similarity measures. The presented approach, that provided satisfactory results, faces problems related to processing user created content and huge computational complexity and can be used as an alternative to manual selection and evaluation of textual samples. (en)
Title	Approaches to Samples Selection for Machine Learning Based Classification of Textual Data Approaches to Samples Selection for Machine Learning Based Classification of Textual Data (en)
skos:prefLabel	Approaches to Samples Selection for Machine Learning Based Classification of Textual Data Approaches to Samples Selection for Machine Learning Based Classification of Textual Data (en)
skos:notation	RIV/62156489:43110/13:00208671!RIV14-MSM-43110___
http://linked.open...avai/predkladatel	Provozně ekonomická fakulta
http://linked.open...avai/riv/aktivita	Z
http://linked.open...avai/riv/aktivity	Z(MSM6215648904)
http://linked.open...iv/cisloPeriodika	5
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Dařena, František Žižka, Jan
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
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	61878
http://linked.open...ai/riv/idVysledku	RIV/62156489:43110/13:00208671
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	machine learning; text similarity; natural language processing; textual patterns; information retrieval; text classification (en)
http://linked.open.../riv/klicoveSlovo	textual patterns natural language processing text similarity text classification information retrieval machine learning
http://linked.open...odStatuVydavatele	SK - Slovenská republika
http://linked.open...ontrolniKodProRIV	[63B4A35C1305]
http://linked.open...i/riv/nazevZdroje	Computing and Informatics
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	2013
http://linked.open...v/svazekPeriodika	32
http://linked.open...iv/tvurceVysledku	Žižka, Jan Dařena, František
http://linked.open...ain/vavai/riv/wos	327410900003
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
issn	1335-9150
number of pages	19 (xsd:int)
http://localhost/t...ganizacniJednotka	43110

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