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Quantitative Analysis of Open Diplomacy Speeches. P. 86–96

Версия для печати

Section: Linguistics

UDC

81’33

DOI

10.37482/2227-6564-V037

Authors

Ol’ga I. Maksimenko
Moscow Region State University;
ul. Radio 10a, Moscow, 105005, Russian Federation;
ORCID: https://orcid.org/0000-0002-6611-8744 e-mail: maxbel7@yandex.ru
Mikhail V. Belyakov
Moscow State Institute of International Relations (University) of the Ministry of Foreign
Affairs of the Russian Federation;
prosp. Vernadskogo 76, Moscow, 119454, Russian Federation;
ORCID: https://orcid.org/0000-0002-6230-9893 e-mail: belmax007@hotmail.com

Abstract

Keywords

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References

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9. Mohammad S.M. A Practical Guide to Sentiment Annotation: Challenges and Solutions. Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis. 2016, pp. 174–179. Available at: https://www.aclweb.org/anthology/W16-0429.pdf (accessed: 15 December 2019).
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11. Belyakov M.V. Analiz novostnykh soobshcheniy sayta MID RF metodom sentiment-analiza (stat’ya 2) [The Analysis of News Messages of the RF Ministry of Foreign Affairs Web-Site by the Sentiment-Analysis (Article 2)]. Vestnik RUDN. Ser.: Teoriya yazyka. Semiotika. Semantika, 2016, no. 4, pp. 115–124.
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