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2018 | nr 3 (74) | 31--48
Tytuł artykułu

Political Sentiment Analysis of Press Freedom

Treść / Zawartość
Warianty tytułu
Analiza nastrojów politycznych w zakresie wolności prasy
Języki publikacji
EN
Abstrakty
EN
This article applies computer political sentiment analysis to news stories mentioning government officials published by major news portals in Kazakhstan and Poland. Surprisingly, while Kazakhstan is classified in freedom rankings as "not free", its major media publish more critical views about the government than media in Poland, a country classified as "free" or "mostly free". The presented methodology also allows to derive the real political power structure. The article shows that international freedom rankings can be improved by political sentiment analysis to local news. (original abstract)
W artykule zastosowano komputerową analizę politycznego sentymentu do tekstów opisujących członków rządu, opublikowanych na portalach newsowych w Kazachstanie i w Polsce. Media w Kazachstanie znacznie bardziej krytycznie odnoszą się do polityków niż media w Polsce, mimo że Kazachstan w międzynarodowych rankingach wolności prasy jest oceniany jako "kraj pozbawiony wolności", a Polska - jako "kraj wolny". Prezentowana metoda pozwala także na określenie realnej struktury władzy. Artykuł pokazuje, że rankingi powinny zostać uzupełnione o analizę politycznego sentymentu. (abstrakt oryginalny)
Słowa kluczowe
Czasopismo
Rocznik
Numer
Strony
31--48
Opis fizyczny
Twórcy
  • Vistula University, Poland
Bibliografia
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  • Gogołek, W., Jaruga, D., Kowalik, K. & Celiński, P. (2015). Z badań nad wykorzystaniem rafinacji informacji sieciowej Wybory prezydenckie i parlamentarne 2015. Studia Medioznawcze, 3 (62), 31-40. (In Polish).
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  • Loukachevitch N., Levchik A., 2016. "Creating a General Russian Sentiment Lexicon". In: Proceedings of Language Resources and Evaluation Conference LREC-2016.
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  • Ogrodniczuk, M., Kopeć, M. (2017). "Lexical Correction of Polish Twitter Political Data". In: Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (pp. 115-125).
  • Piryani, R., Madhavi, D. & Singh, V. K. (2017). "Analytical mapping of opinion mining and sentiment analysis research during 2000-2015". Information Processing & Management, 53 (1), 122-150.
  • Ravi, K., & Ravi, V. (2015). "A survey on opinion mining and sentiment analysis: tasks, approaches and applications". Knowledge-Based Systems, 89, 14-46.
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171524039

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