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Comparing corporate financial performance and qualitative information from annual reports using self-organizing maps

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F14%3A39898559" target="_blank" >RIV/00216275:25410/14:39898559 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/ICNC.2014.6975816" target="_blank" >http://dx.doi.org/10.1109/ICNC.2014.6975816</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICNC.2014.6975816" target="_blank" >10.1109/ICNC.2014.6975816</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparing corporate financial performance and qualitative information from annual reports using self-organizing maps

  • Original language description

    This paper develops a methodology to extract concepts containing qualitative information from corporate annual reports. The concepts are extracted from the corpus of U.S. corporate annual reports using WordNet ontology and singular value decomposition, and further visualized using self-organizing maps. The methodology makes it possible to easily compare the concepts with future financial performance. The results suggest that annual reports differ in terms of the concepts emphasized reflecting future financial performance.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AE - Management, administration and clerical work

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA13-10331S" target="_blank" >GA13-10331S: The role of text information in corporate financial distress prediction models – country-specific and industry-specific approaches</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

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

    10th International Conference on Natural Computation (ICNC), 2014

  • ISBN

    978-1-4799-5151-2

  • ISSN

    2469-8814

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    93-98

  • Publisher name

    IEEE (Institute of Electrical and Electronics Engineers)

  • Place of publication

    New York

  • Event location

    Xiamen

  • Event date

    Aug 19, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000393406200017