Mobile Application for Customers' Reviews Opinion Mining
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F16%3A43909296" target="_blank" >RIV/62156489:43110/16:43909296 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.sbspro.2016.05.511" target="_blank" >http://dx.doi.org/10.1016/j.sbspro.2016.05.511</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.sbspro.2016.05.511" target="_blank" >10.1016/j.sbspro.2016.05.511</a>
Alternative languages
Result language
angličtina
Original language name
Mobile Application for Customers' Reviews Opinion Mining
Original language description
Nowadays people often form their opinion about various subjects according to the reviews they read on the Internet. Measuring the quality of products or services is a complicated task based on revealing customers' satisfaction or sentiment. However, having the large amounts of data, it is hardly possible to process it manually and it also takes a long time to read all product reviews. This paper presents the analysis and design of the application for mobile devices that aims at automatic discovery of human feelings hidden in textual messages that customers produce.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Procedia - Social and Behavioral Sciences
ISBN
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ISSN
1877-0428
e-ISSN
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Number of pages
9
Pages from-to
373-381
Publisher name
Elsevier Science BV
Place of publication
Amsterdam
Event location
Brno
Event date
Mar 10, 2016
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000386948700044