Sentiment Analysis on English Financial News

Document Type : Research Article

Authors

Kazan Federal University

Abstract

This article is devoted to comparison of various approaches towards sentiment analysis (polarity classification) of the English financial news. The purpose of the work is to check, weather higher quality English texts would have higher classification quality and the links between quality of polarity classification and the architectures of the chosen systems. The approaches, presented on SemEval-2017 competition in the appropriate category of tasks, are taken as the basis. A specially collected dataset is used as the source of English financial news. In the end, a conclusion is made about the relationship between the quality of the source of English financial news and the quality of the news data sentiment analysis, made by the compared systems.

Keywords

Journal of Research in Applied Linguistics
Volume 10, Proceedings of the 6th International Conference on Applied Linguistics Issues (ALI 2019) July 19-20, 2019, Saint Petersburg, Russia
This special issue of the journal includes papers published in the spirit of academic support of the conference and so they did not go through the review process defined by the journal.
July 2019
Pages 574-582

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