Clients' freely written assessment as the source of automatically mined opinions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F14%3A00232199" target="_blank" >RIV/62156489:43110/14:00232199 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/S2212-5671(14)00325-6" target="_blank" >http://dx.doi.org/10.1016/S2212-5671(14)00325-6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/S2212-5671(14)00325-6" target="_blank" >10.1016/S2212-5671(14)00325-6</a>
Alternative languages
Result language
angličtina
Original language name
Clients' freely written assessment as the source of automatically mined opinions
Original language description
Measuring the quality of products or services, a challenging task is to reveal clients' satisfaction or sentiment. As people have many opportunities to express their opinions using various on-line channels (e.g., discussions, microblogs, social networks), the question is whether such data might be used for this purpose. Information hidden in the data includes the reasons why people perceive products or services as good or bad, what are the reasons of clients' satisfaction or dissatisfaction, or what affects their sentiment. However, having the needed large amounts of data, it is hardly possible to process it manually. This paper presents a method that aims at automatic discovery of sources of human feelings hidden in textual messages that clients produce. For a demonstration, messages having a form of freely written reviews containing subjective evaluation of medical services were used. During analysis of the data, clusters representing groups of the whole reviews (or individual senten
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
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
17th International Conference Enterprise And Competitive Environment 2014
ISBN
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ISSN
2212-5671
e-ISSN
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Number of pages
8
Pages from-to
103-110
Publisher name
Elsevier Science Bv
Place of publication
Amsterdam, Netherlands
Event location
Brno, CZECH REPUBLIC
Event date
Mar 6, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
345439100012