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International Conference on Text, Speech, and Dialogue

TSD 2015: Text, Speech, and Dialogue pp 131–139Cite as

Novel Multi-word Lists for Investors’ Decision Making

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9302))

Abstract

The language of firm-related documents is recognized as being an important indicator of transparent firm culture and management access to stakeholders. This study aims to analyze annual reports of selected U.S. firms during 2008-2010 from the investor’s perspective. We examine whether investment indicators correspond to the tone (sentiment) of management comments in annual reports. To overcome the limitations of domain-specific single-word dictionaries, we develop positive and negative multi-word dictionaries. We present the results separately for two sectors, manufacturing and services. We show that the multi-word dictionaries correlate better with the indicators of investment activity, in particular with those related to long-term investment.

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Author information

Authors and Affiliations

  1. Faculty of Economics and Administration, Institute of Business Economics and Management, University of Pardubice, Pardubice, Czech Republic

    Renáta Myšková

  2. Faculty of Economics and Administration, Institute of System Engineering and Informatics, University of Pardubice, Pardubice, Czech Republic

    Petr Hájek

Authors
  1. Renáta Myšková
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  2. Petr Hájek
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Corresponding author

Correspondence to Petr Hájek .

Editor information

Editors and Affiliations

  1. University of West Bohemia, Pilsen, Czech Republic

    Pavel Král

  2. University of West Bohemia, Pilsen, Czech Republic

    Václav Matoušek

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© 2015 Springer International Publishing Switzerland

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Myšková, R., Hájek, P. (2015). Novel Multi-word Lists for Investors’ Decision Making. In: Král, P., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2015. Lecture Notes in Computer Science(), vol 9302. Springer, Cham. https://doi.org/10.1007/978-3-319-24033-6_15

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  • DOI: https://doi.org/10.1007/978-3-319-24033-6_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24032-9

  • Online ISBN: 978-3-319-24033-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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