All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Visualizing Word Categorization of Corporate 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%2F15%3A39899806" target="_blank" >RIV/00216275:25410/15:39899806 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.iiis.org/CDs2015/CD2015IMC/IMCIC_2015/PapersPdf/ZA263RL.pdf" target="_blank" >http://www.iiis.org/CDs2015/CD2015IMC/IMCIC_2015/PapersPdf/ZA263RL.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Visualizing Word Categorization of Corporate Annual Reports Using Self-Organizing Maps

  • Original language description

    An increasing proportion of corporate information takes the form of unstructured or semi-structured text. Annual reports are one of the most important external documents that discuss corporate performance and managerial priorities. This paper is aimed atvisualizing textual information in corporate annual reports. Several word categorization schemes are used to extract the tone of text. Self-organizing maps are employed to map the word categories. The results indicate that the annual reports of U.S. companies differ in terms of the tone emphasized. In addition, we show that the tone reflects both current financial performance and future change in the performance.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • 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

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    6th International Multi-Conference on Complexity, Informatics and Cybernetics, IMCIC 2015: Proceedings Vol. II

  • ISBN

    978-1-941763-20-9

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    51-56

  • Publisher name

    International Institute of Informatics and Systemics

  • Place of publication

    Winter Garden

  • Event location

    Orlando

  • Event date

    Mar 10, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article