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Mining Textual Significant Expressions Reflecting Opinions in 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%3A00180511" target="_blank" >RIV/62156489:43110/11:00180511 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mining Textual Significant Expressions Reflecting Opinions in Natural Languages

  • Original language description

    Revealing an opinion hidden in a text document is a challenging task. The article presents a method based on the automatic extraction of expressions that are significant for specifying a document attitude to a given topic. The significant expressions arecomposed using revealed significant words in the documents. The significant words are selected by the c5 decision-tree generator based on the entropy minimization. Words included in branches represent kernels of the significant expressions. The full expressions are composed of the significant words and words surrounding them in the original documents. Such expressions provide much more information than individual (key-)words and can be used for analysing a document meaning and the cause of the opinion:what exactly the opinion deals with? The results are demonstrated using large real-world multilingual data representing customers' opinions written in a free form.

  • 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

    Intelligent Systems Design and Applications

  • ISBN

    978-1-4577-1675-1

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    136-141

  • Publisher name

    IEEE

  • Place of publication

  • Event location

    Córdoba

  • Event date

    Jan 1, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article