| Форма представления | Статьи в зарубежных журналах и сборниках |
| Год публикации | 2016 |
| Язык | английский |
|
Тутубалина Елена Викторовна, автор
|
| Библиографическое описание на языке оригинала |
Tutubalina E., A sentiment-aware topic model for extracting failures from product reviews//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2016. - Vol.9924, Is.. - P.37-45. |
| Ключевые слова |
topic modeling, NLP, opinion mining, knowledge-based method, problem phrase extraction, social media, mining complaints, sentiment analysis |
| Название журнала |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
|
| URL |
https://www.scopus.com/inward/record.url?eid=2-s2.0-85008354466&partnerID=40&md5=7620f224945d3b9391d563e41054a722 |
| Пожалуйста, используйте этот идентификатор, чтобы цитировать или ссылаться на эту карточку |
https://repository.kpfu.ru/?p_id=152079 |
Полная запись метаданных  |
| Поле DC |
Значение |
Язык |
| dc.contributor.author |
Тутубалина Елена Викторовна |
ru_RU |
| dc.date.accessioned |
2016-01-01T00:00:00Z |
ru_RU |
| dc.date.available |
2016-01-01T00:00:00Z |
ru_RU |
| dc.date.issued |
2016 |
ru_RU |
| dc.identifier.citation |
Tutubalina E., A sentiment-aware topic model for extracting failures from product reviews//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 2016. - Vol.9924, Is.. - P.37-45. |
ru_RU |
| dc.identifier.uri |
https://repository.kpfu.ru/?p_id=152079 |
ru_RU |
| dc.description.abstract |
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
ru_RU |
| dc.language.iso |
ru |
ru_RU |
| dc.subject |
topic modeling |
ru_RU |
| dc.subject |
NLP |
ru_RU |
| dc.subject |
opinion mining |
ru_RU |
| dc.subject |
knowledge-based method |
ru_RU |
| dc.subject |
problem phrase extraction |
ru_RU |
| dc.subject |
social media |
ru_RU |
| dc.subject |
mining complaints |
ru_RU |
| dc.subject |
sentiment analysis |
ru_RU |
| dc.title |
A sentiment-aware topic model for extracting failures from product reviews |
ru_RU |
| dc.type |
Статьи в зарубежных журналах и сборниках |
ru_RU |
|
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