About: Automatic Categorization of Reviews and Opinions of Internet E-Shopping Customers

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About: Automatic Categorization of Reviews and Opinions of Internet E-Shopping Customers Goto Sponge NotDistinct Permalink

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

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.igi-global.com/chapter/automatic-categorization-reviews-opinions-internet/67517
Description	E-shopping customers, blog authors, reviewers, and other web contributors can express their opinions of a purchased item, film, book, and so forth. Typically, various opinions are centered around one topic (e.g., a commodity, film, etc.). From the Business Intelligence viewpoint, such entries are very valuable; however, they are difficult to automatically process because they are in a natural language. Human beings can distinguish the various opinions. Because of the very large data volumes, could a machine do the same? The suggested method uses the machine-learning (ML) based approach to this classification problem, demonstrating via real-world data that a machine can learn from examples relatively well. The classification accuracy is better than 70%; it is not perfect because of typical problems associated with processing unstructured textual items in natural languages. The data characteristics and experimental results are shown. E-shopping customers, blog authors, reviewers, and other web contributors can express their opinions of a purchased item, film, book, and so forth. Typically, various opinions are centered around one topic (e.g., a commodity, film, etc.). From the Business Intelligence viewpoint, such entries are very valuable; however, they are difficult to automatically process because they are in a natural language. Human beings can distinguish the various opinions. Because of the very large data volumes, could a machine do the same? The suggested method uses the machine-learning (ML) based approach to this classification problem, demonstrating via real-world data that a machine can learn from examples relatively well. The classification accuracy is better than 70%; it is not perfect because of typical problems associated with processing unstructured textual items in natural languages. The data characteristics and experimental results are shown. (en)
Title	Automatic Categorization of Reviews and Opinions of Internet E-Shopping Customers Automatic Categorization of Reviews and Opinions of Internet E-Shopping Customers (en)
skos:prefLabel	Automatic Categorization of Reviews and Opinions of Internet E-Shopping Customers Automatic Categorization of Reviews and Opinions of Internet E-Shopping Customers (en)
skos:notation	RIV/62156489:43110/13:00199773!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...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Žižka, Jan
http://linked.open.../riv/druhVysledku	C - Kapitola v knize
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	62586
http://linked.open...ai/riv/idVysledku	RIV/62156489:43110/13:00199773
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	customer reviews; text mining; e-shopping; Internet; business intelligence; machine learning; automatic categorization; natural language processing (en)
http://linked.open.../riv/klicoveSlovo	automatic categorization customer reviews e-shopping business intelligence natural language processing Internet text mining machine learning
http://linked.open...ontrolniKodProRIV	[EF8397AC8C52]
http://linked.open...i/riv/mistoVydani	Hershey, Pennsylvania (USA)
http://linked.open...vEdiceCisloSvazku	1
http://linked.open...i/riv/nazevZdroje	Transdisciplinary Marketing Concepts and Emergent Methods for Virtual Environments
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...v/pocetStranKnihy	385 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Žižka, Jan Rukavitsyn, Vadim
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	10 (xsd:int)
http://purl.org/ne...btex#hasPublisher	IGI Global
https://schema.org/isbn	978-1-4666-1861-9
http://localhost/t...ganizacniJednotka	43110

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