Discovering Opinions from Customers' Unstructured Textual Reviews Written in Different Natural Languages
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F13%3A00200263" target="_blank" >RIV/62156489:43110/13:00200263 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.igi-global.com/book/marketing-developed-developing-countries/72366" target="_blank" >http://www.igi-global.com/book/marketing-developed-developing-countries/72366</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.4018/978-1-4666-3954-6" target="_blank" >10.4018/978-1-4666-3954-6</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Discovering Opinions from Customers' Unstructured Textual Reviews Written in Different Natural Languages
Popis výsledku v původním jazyce
Gaining new and keeping existing clients or customers can be well-supported by creating and monitoring feedbacks: "Are the customers satisfied? Can we improve our services?" One of possible feedbacks is allowing the customers to freely write their reviews using a simple textual form. The more reviews that are available, the better knowledge can be acquired and applied to improving the service. However, very large data generated by collecting the reviews has to be processed automatically as humans usually cannot manage it within an acceptable time. The main question is "Can a computer reveal an opinion core hidden in text reviews?" It is a challenging task because the text is written in a natural language. This chapter presents a method based on the automatic extraction of expressions that are significant for specifying a review attitude to a given topic. The significant expressions are composed using significant words revealed in the documents. The significant words are selected by a d
Název v anglickém jazyce
Discovering Opinions from Customers' Unstructured Textual Reviews Written in Different Natural Languages
Popis výsledku anglicky
Gaining new and keeping existing clients or customers can be well-supported by creating and monitoring feedbacks: "Are the customers satisfied? Can we improve our services?" One of possible feedbacks is allowing the customers to freely write their reviews using a simple textual form. The more reviews that are available, the better knowledge can be acquired and applied to improving the service. However, very large data generated by collecting the reviews has to be processed automatically as humans usually cannot manage it within an acceptable time. The main question is "Can a computer reveal an opinion core hidden in text reviews?" It is a challenging task because the text is written in a natural language. This chapter presents a method based on the automatic extraction of expressions that are significant for specifying a review attitude to a given topic. The significant expressions are composed using significant words revealed in the documents. The significant words are selected by a d
Klasifikace
Druh
C - Kapitola v odborné knize
CEP obor
IN - Informatika
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
Z - Vyzkumny zamer (s odkazem do CEZ)
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název knihy nebo sborníku
E-Marketing in Developed and Developing Countries: Emerging Practices
ISBN
978-1-4666-3954-6
Počet stran výsledku
23
Strana od-do
137-159
Počet stran knihy
342
Název nakladatele
IGI Global
Místo vydání
Hershey, PA 17033, USA
Kód UT WoS kapitoly
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