Research Output

Using Knowledge Organization Systems to automatically detect forward-looking sentiment in company reports to infer social phenomena.

  The study investigates whether existing Knowledge Organization Systems (KOS) for strong and hesitant forward-looking sentiment could be improved to detect social phenomena.
Five judges identified examples of strong/hesitant forward-looking sentiment which were used to compare the KOS developed in the study, to existing models. The ‘composite’ KOS was subsequently applied to annual company reports to generate word frequency and biologically inspired diversity ratios. Critical Realism was used as a philosophy to interpret word patterns.
Results indicate the composite KOS improved on existing models identified in the literature for strong forward-looking sentiment. In one company, a statistically significant association was found between increasing diversity of assertive forward-looking sentiment and subsequent declining relative business performance. This supported the Pollyanna effect: the social phenomena of over-positive business language in that company. Sharp increases in mentions of the ‘future’ and ‘learnings’ was discovered in another company which may be explained by an industrial disaster and subsequent crisis management rhetoric, supporting Discourse of Renewal Theory.
This study shows that improvements can be made to existing KOS used to detect forward-looking sentiment in reports. Adopting Critical Realism as a philosophy when analysing ‘big data’ may lead to improved theory generation and the potential for differentiating insights.

  • Type:

    Article

  • Date:

    31 May 2018

  • Publication Status:

    Published

  • DOI:

    10.5771/0943-7444-2018-2-152.

  • ISSN:

    0943-7444

  • Library of Congress:

    Z665 Library Science. Information Science

  • Dewey Decimal Classification:

    658.4038 Information Management

  • Funders:

    Edinburgh Napier Funded

Citation

Cleverley, P., & Muir, L. (2018). Using Knowledge Organization Systems to automatically detect forward-looking sentiment in company reports to infer social phenomena. Knowledge Organization, 45(2), 152-169. https://doi.org/10.5771/0943-7444-2018-2-152

Authors

Keywords

Knowledge Organization Systems, company reports, social phenomena,

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