Форма представления | Статьи в зарубежных журналах и сборниках |
Год публикации | 2019 |
Язык | английский |
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Еремеева Гузель Ринатовна, автор
Мартынова Екатерина Владимировна, автор
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Хакимова Амина Айдаровна, автор
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Библиографическое описание на языке оригинала |
Guzel Rinatovna Eremeeva, Ekaterina Vladimirovna Martynova, Amina Aidarovna Khakimova, Liliya Ernstovna Ilikova Sentiment Analysis on English Financial News / Guzel Rinatovna Eremeeva, Ekaterina Vladimirovna Martynova, Amina Aidarovna Khakimova, Liliya Ernstovna Ilikova // Journal of Research in Applied Linguistics
10(Special Issue).Proceedings of the 6th International Conference on Applied Linguistics Issues (ALI 2019) P. 270-278. Doi: 10.22055/RALS.2019.15102 |
Аннотация |
Journal of Research in Applied Linguistics 10(Special Issue) |
Ключевые слова |
Linguistics, Text, Sentiment Analysis, Polarity Detection |
Название журнала |
Journal of Research in Applied Linguistics 10(Special Issue)
|
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=216792 |
Полная запись метаданных |
Поле DC |
Значение |
Язык |
dc.contributor.author |
Еремеева Гузель Ринатовна |
ru_RU |
dc.contributor.author |
Мартынова Екатерина Владимировна |
ru_RU |
dc.contributor.author |
Хакимова Амина Айдаровна |
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 |
Guzel Rinatovna Eremeeva, Ekaterina Vladimirovna Martynova, Amina Aidarovna Khakimova, Liliya Ernstovna Ilikova Sentiment Analysis on English Financial News / Guzel Rinatovna Eremeeva, Ekaterina Vladimirovna Martynova, Amina Aidarovna Khakimova, Liliya Ernstovna Ilikova // Journal of Research in Applied Linguistics
10(Special Issue).Proceedings of the 6th International Conference on Applied Linguistics Issues (ALI 2019) P. 270-278. Doi: 10.22055/RALS.2019.15102 |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/?p_id=216792 |
ru_RU |
dc.description.abstract |
Journal of Research in Applied Linguistics 10(Special Issue) |
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 |
Linguistics |
ru_RU |
dc.subject |
Text |
ru_RU |
dc.subject |
Sentiment Analysis |
ru_RU |
dc.subject |
Polarity Detection |
ru_RU |
dc.title |
Sentiment Analysis on English Financial News |
ru_RU |
dc.type |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|