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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

  • 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

    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

  • ISSN

    1877-0428

  • e-ISSN

  • 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