KFU. Card publication. Sentiment Analysis on English Financial News

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

SENTIMENT ANALYSIS ON ENGLISH FINANCIAL NEWS

Form of presentation

Articles in international journals and collections

Year of publication

2019

Язык

русский

Authors, employees of KFU

Ilikova Liliya Ernstovna, author

Bibliographic description in the original language

Sentiment Analysis on English Financial News Volume 10, Proceedings of the 6th International Conference on Applied Linguistics Issues (ALI 2019) July 19-20, 2019, Saint Petersburg, Russia, Summer and Autumn 2019, Pages 735-744

Annotation

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

The name of the journal

JOURNAL OF RESEARCH IN APPLIED LINGUISTICS

URL

http://rals.scu.ac.ir/article_15102.html

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=216516&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Ilikova Liliya Ernstovna	ru_RU
dc.date.accessioned	2019-01-01T00:00:00Z	ru_RU
dc.date.available	2019-01-01T00:00:00Z	ru_RU
dc.date.issued	2019	ru_RU
dc.identifier.citation	Sentiment Analysis on English Financial News Volume 10, Proceedings of the 6th International Conference on Applied Linguistics Issues (ALI 2019) July 19-20, 2019, Saint Petersburg, Russia, Summer and Autumn 2019, Pages 735-744	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=216516&p_lang=2	ru_RU
dc.description.abstract	JOURNAL OF RESEARCH IN APPLIED LINGUISTICS	ru_RU
dc.description.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.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Sentiment Analysis on English Financial News	ru_RU
dc.type	Articles in international journals and collections	ru_RU