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The latent semantic analysis of the corpus within the Thomas Bata concern and its importance to information and system flows in the Thomas Bata concern

Author

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  • Jakub Chvátal

Abstract

Koncern Baťa byl charakteristický jak velkým množstvím písemností, tak i záběrem transferu informací. V článku jsou představeny tyto obecné toky informací z hlediska informačních procesů a periodicity. Obecné texty i noviny koncernu Baťa je možno konfrontovat se statistickými metodami LAS (latentní sémantickou analýzou), základními technikami text miningu, a provádět analýzu těchto textů. Vše dle následujícího postupu: (1) Matice výskytu termínů, histogram výskytu slov, dendrogram a seskupení slov do klastru. (2) Mapa vzdáleností dokumentů i rozbor vnitřní struktury vybraných klíčových slov vykreslená na základě vektorového prostoru sémantické analýzy. (3) Konfrontace s historickým výzkumem toku informací v koncernu Tomáše Bati. (4) Vykreslení mapy vzdáleností patnácti-tisícového svazku historických novin Tomáše Bati na základě jejich historické příslušnosti.

Suggested Citation

  • Jakub Chvátal, 2015. "The latent semantic analysis of the corpus within the Thomas Bata concern and its importance to information and system flows in the Thomas Bata concern," Ekonomika a Management, Prague University of Economics and Business, vol. 2015(3).
    • Handle: RePEc:prg:jnleam:v:2015:y:2015:i:3:id:254
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    More about this item

    Keywords

    Lexical semantic analysis; Thomas Bata; Information flow; Text mining; Lexikální sémantická analýza; Tomáš Baťa; Tok informací; Text mining;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • M20 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - General

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