Title of article
Sentiment Analysis on English Financial News
Author/Authors
Rinatovna Eremeeva, Guzel Kazan Federal University , Vladimirovna Martynova, Ekaterina Kazan Federal University , Aidarovna Khakimova, Amina Kazan Federal University , Ernstovna Ilikova, Liliya Kazan Federal University
Pages
9
From page
574
To page
582
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
Linguistics , Text , Sentiment Analysis , Polarity Detection
Journal title
Journal of Research in Applied Linguistics
Serial Year
2019
Record number
2527236
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