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Extracting Sentiment from Business News Announcements for More Efficient Decision Making

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Advances in Artificial Intelligence-Empowered Decision Support Systems

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 39))

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Abstract

Sentiment analysis is a subfield of natural language processing intending to identify if the content of a text is positive, negative, or neutral. Over the last years we have witnessed an unprecedented explosion of different sources of digital content that is coming from news sites, social media and blog posts. In this study we are focusing our attention to the digital content that it is coming from the regulatory news announcements. Market transparency legislation in the UK and other countries alike, imposes to all publicly listed companies to publish, on a regular basis, critical business information. The investment community can benefit from a system that is able to extract sentiment from regulatory news announcements. In this article, we cover this gap by proposing a system that extracts sentiment from regulatory news announcements for more efficient decision making.

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Authors and Affiliations

  1. Decision Support Systems Laboratory, Department of Informatics, University of Piraeus, 80, Karaoli & Dimitriou Str., 18534, Piraeus, Greece

    Konstantinos Liagkouras & Konstantinos Metaxiotis

Authors
  1. Konstantinos Liagkouras
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  2. Konstantinos Metaxiotis
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Corresponding author

Correspondence to Konstantinos Liagkouras .

Editor information

Editors and Affiliations

  1. Department of Informatics, University of Piraeus, Piraeus, Greece

    George A. Tsihrintzis

  2. Department of Informatics, University of Piraeus, Piraeus, Greece

    Maria Virvou

  3. Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece

    Haris Doukas

  4. KES International, SELBY, UK

    Lakhmi C. Jain

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Liagkouras, K., Metaxiotis, K. (2024). Extracting Sentiment from Business News Announcements for More Efficient Decision Making. In: Tsihrintzis, G.A., Virvou, M., Doukas, H., Jain, L.C. (eds) Advances in Artificial Intelligence-Empowered Decision Support Systems. Learning and Analytics in Intelligent Systems, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-031-62316-5_11

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