Fossil fuels helped Putin build military power and attack Ukraine. Coal, gas and oil are being us... more Fossil fuels helped Putin build military power and attack Ukraine. Coal, gas and oil are being used by Putin’s regime as weapons against the countries that are contractors and consumers of Russian fuels. The aim of this paper is to present a methodology using Big Data analysis and to demonstrate the results, as well as to show trends and developments in relation to the response to the crisis on the fossil fuel market. At the same time, the EU institutions have taken on the burden of conducting energy policy in Europe. The research carried out, including the cluster analysis and the analysis of the variability of trends in relation to the real conditions in the market for strategic energy resources, indicates that the European Union (as an institution) has taken over the burden of policy-making in this area and national policies are far less important (indicating their weakness).
Sentiment analysis is a tool used in many areas (marketing, management, sociology) and its eff... more Sentiment analysis is a tool used in many areas (marketing, management, sociology) and its effectiveness depends on the quality of sources and the volume of data gathered. The authors present procedures that allow the collection of large volumes of text data and the processing thereof, the result of which is a quick (practically in real time) assessment of emotions and their changes. In the example analysis Russian sources are given (in the Russian language, creating a system of media monopolised by the authorities). The analysis was between week 1 and 17 of 2022 - before and during the conflict between Russia and Ukraine. The results obtained, trends of changes in sentiments pertain to Presidents Joe Biden, Andrzej Duda, Aleksandr Lukashenko, Emmanuel Macron, Volodymyr Zelensky and Vladimir Putin - the results are emotionally charged figures of presidents created for the internal purposes of Russia and provide significant information for analysts of the ongoing conflict. Obtaini...
Dzięki nowym technologiom informacyjnym możliwe stało się gromadzenie gigantycznych zbiorów infor... more Dzięki nowym technologiom informacyjnym możliwe stało się gromadzenie gigantycznych zbiorów informacji (Big Data, głównie sieciowych) i ich niestandardowa analiza – rafinacja informacji. Jej wynik jest cennym, tanim w uzyskaniu, nowym źródłem danych. Tworzą one wartościowy obraz przeszłości, czasu rzeczywistego i predykcji. Dowodzą tego m.in. wyniki badań dotyczących aktywności politycznej – wyborów prezydenckich i parlamentarnych w Polsce (2011, 2015).
Fossil fuels helped Russian president Putin build military power of Russia and attack Ukraine. Co... more Fossil fuels helped Russian president Putin build military power of Russia and attack Ukraine. Coal, gas and oil are being used by Putin's regime as weapons against the countries that are contractors and consumers of Russian fuels. The aim of this paper is to present a methodology based on refining information and Big Data analysis and to demonstrate the results, as well as to show trends and developments in relation to the response to the crisis on the fossil fuel market. Predictive methods and the techniques of sentiment analysis including the cluster analysis and the analysis of the variability of trends indicates that the European Union has taken over the burden of energy policy-making. This also indicates a downgrading of national policies and their weakness in resisting Russia's aggressive actions. The analysis of frequency confirms the markedly different Russian attitudes to Europe as a whole and to its individual members.
Sentiment analysis is a tool used in many areas (marketing, management, sociology) and its eff... more Sentiment analysis is a tool used in many areas (marketing, management, sociology) and its effectiveness depends on the quality of sources and the volume of data gathered. The authors present procedures that allow the collection of large volumes of text data and the processing thereof, the result of which is a quick (practically in real time) assessment of emotions and their changes. In the example analysis Russian sources are given (in the Russian language, creating a system of media monopolised by the authorities). The analysis was between week 1 and 17 of 2022 - before and during the conflict between Russia and Ukraine. The results obtained, trends of changes in sentiments pertain to Presidents Joe Biden, Andrzej Duda, Aleksandr Lukashenko, Emmanuel Macron, Volodymyr Zelensky and Vladimir Putin - the results are emotionally charged figures of presidents created for the internal purposes of Russia and provide significant information for analysts of the ongoing conflict. Obtaini...
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Papers by Piotr Celinski