| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2019 |
| Язык | русский |
|
Иликова Лилия Эрнстовна, автор
|
| Библиографическое описание на языке оригинала |
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 |
| Аннотация |
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. |
| Ключевые слова |
Linguistics Text Sentiment Analysis Polarity Detection |
| Название журнала |
JOURNAL OF RESEARCH IN APPLIED LINGUISTICS
|
| URL |
http://rals.scu.ac.ir/article_15102.html |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=216516 |
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Иликова Лилия Эрнстовна |
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/?p_id=216516 |
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 |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
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