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Mining Significant Words from Customer Opinions Written in Different Natural Languages

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F11%3A00215851" target="_blank" >RIV/62156489:43110/11:00215851 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-642-23538-2_27" target="_blank" >http://dx.doi.org/10.1007/978-3-642-23538-2_27</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-23538-2_27" target="_blank" >10.1007/978-3-642-23538-2_27</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mining Significant Words from Customer Opinions Written in Different Natural Languages

  • Original language description

    Opinions expressed by text documents freely written in various natural languages represent a valuable source of knowledge that is hidden in large datasets. The presented research describes a text mining-method how to discover words that are significant for expressing different opinions (positive and negative). The method applies a simple but unified data pre-processing for all languages, providing the bag-of-words with words represented by their frequencies in the data. Then, the frequencies are used bythe algorithm which generates decision trees. The tree decisive nodes contain the words that are significant for expressing the opinions. Positions of these words in the tree represent their significance degree, where the most significant word is in thenode. As a result, a list of relevant words can be used for creating a dictionary containing only relevant information. The described method was tested using very large sets of customers' reviews concerning the on-line hotel room booking

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Text, Speech and Dialogue

  • ISBN

    978-3-642-23537-5

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    211-218

  • Publisher name

    Springer

  • Place of publication

    Heidelberg Dordrecht London New York

  • Event location

    Pilsen

  • Event date

    Sep 1, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article