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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • 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

  • ISSN

    2212-5671

  • e-ISSN

  • 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