KFU. Card publication. A sentiment-aware topic model for extracting failures from product reviews

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

A SENTIMENT-AWARE TOPIC MODEL FOR EXTRACTING FAILURES FROM PRODUCT REVIEWS

Form of presentation

Articles in international journals and collections

Year of publication

2016

Язык

английский

Authors, employees of KFU

Tutubalina Elena Viktorovna, author

Bibliographic description in the original language

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.

Keywords

topic modeling, NLP, opinion mining, knowledge-based method, problem phrase extraction, social media, mining complaints, sentiment analysis

The name of the journal

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

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

https://repository.kpfu.ru/eng/?p_id=152079&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Tutubalina Elena Viktorovna	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/eng/?p_id=152079&p_lang=2	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	Articles in international journals and collections	ru_RU