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Title | Machine Analysis of the UK Electrical Energy Initiatives Based on the E-petitions to the UK Government and Parliament |
Authors |
Kolosok, Svitlana Ivanivna
Vasylieva, Tetiana Anatoliivna Lieonov, Serhii Viacheslavovych |
ORCID |
http://orcid.org/0000-0002-5133-9878 http://orcid.org/0000-0003-0635-7978 http://orcid.org/0000-0001-5639-3008 |
Keywords |
electrical energy initiatives electrical energy grids machine analysis text mining UK epetitions ініціативи в галузі електроенергетики инициативы в области электроэнергетики електромережі электросети машинний аналіз машинный анализ майнінг тексту майнинг текста події Великобританії события Великобритании |
Type | Conference Papers |
Date of Issue | 2021 |
URI | https://essuir.sumdu.edu.ua/handle/123456789/85484 |
Publisher | RWTH Aachen University |
License | Creative Commons Attribution 4.0 International License |
Citation | Kolosok S., Vasylieva T., Lieonov S. Machine Analysis of the UK Electrical Energy Initiatives Based on the E-petitions to the UK Government and Parliament. // COLINS-2021 : 5th International Conference on Computational Linguistics and Intelligent Systems, Kharkiv, Ukraine, April 22–23. 2021. Vol. 2870. |
Abstract |
In recent decades, the EU has implemented many energy programs to expand the production and consumption of clean energy and build a pan-European energy network. The UK has also accomplished energy initiatives to improve grid security, increase energy independence, and reduce renewable energy costs. However, the UK population did not always support these initiatives and facilitate their implementation. This study was analyzed the UK e-petitions using machine analysis tools to identify the main reasons for public dissatisfaction with the UK's electrical energy initiatives. The e-petitions dataset was uploaded from the UK Government and Parliament website (the 33436 petitions for 2017-2020). For our research on electric energy in the UK, the 100 petitions related to the electricity sector issues were selected. Our study shows that most UK petitions of the energy sector sample belong to installing solar panels and reducing bills for energy resources. |
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File | Size | Format | Downloads |
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Kolosok_text mining.pdf | 919,87 kB | Adobe PDF | 1699895144 |
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