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Leadership and Global Energy Security: Sentiment Analysis of Twitter Using a Named Entity Recognition

In: Leadership, Entrepreneurship and Sustainable Development Post COVID-19

Author

Listed:
  • Svitlana Kolosok

    (Sumy State University)

  • Olena Chygryn

    (Sumy State University)

  • Svitlana Onyshchenko

    (National University “Yuri Kondratyuk Poltava Polytechnic”)

Abstract

Awareness of public attitudes toward the components of global energy security is essential to shaping future energy policy, implementing effective energy leadership, and ensuring sustainable development. This chapter explored the latest public opinion on energy security using data from Twitter. We applied the hashtag #energysecurity to filter 981 messages from January to March 2022. According to opinion mining in tweets, most messages were positive, not negative or neutral. Our study used neural networks for named entity recognition with machine learning based on the spaCy software library in Python to classify important energy security issues of public interest. The public was mostly concerned about gas security and less about oil and nuclear security. Many tweets have expressed worry that Russia’s war on Ukraine will increase oil and gas shortages even without sanctions. Leaders seeking public support should consider energy investments in underground gas storage, energy self-sufficiency, and clean energy deployment in the near future.

Suggested Citation

  • Svitlana Kolosok & Olena Chygryn & Svitlana Onyshchenko, 2023. "Leadership and Global Energy Security: Sentiment Analysis of Twitter Using a Named Entity Recognition," Springer Proceedings in Business and Economics, in: Wadim Strielkowski (ed.), Leadership, Entrepreneurship and Sustainable Development Post COVID-19, chapter 0, pages 361-375, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-28131-0_25
    DOI: 10.1007/978-3-031-28131-0_25
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    More about this item

    Keywords

    Energy leadership; Twitter; Social media; Energy security;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • N7 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services

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