KFU. Card publication. A Machine Learning Approach to Classification of drug reviews in Russian

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

A MACHINE LEARNING APPROACH TO CLASSIFICATION OF DRUG REVIEWS IN RUSSIAN

Form of presentation

Articles in Russian journals and collections

Year of publication

2017

Язык

английский

Authors, employees of KFU

Gafiyatullina Guzel Rashitovna, author

Tutubalina Elena Viktorovna, author

Other authors

Alferova Yuliya Sergeevna, author

Bibliographic description in the original language

Alimova I., Tutubalina E., Alferova J., Gafiyatullina G. A. Machine Learning Approach to Classification of drug reviews in Russian // Proceedings of Ivannikov ISPRAS Open Conference. - 2017

Annotation

Proceedings of Ivannikov ISPRAS Open Conference

Keywords

drug side effects, text mining, social media, machine learning, Russian

The name of the journal

Proceedings of Ivannikov ISPRAS Open Conference

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

https://repository.kpfu.ru/eng/?p_id=168482&p_lang=2

Resource files

File name	Size (MB)	Format
A_Machine_Learning_Approach_to_Classification_of_Drug_Reviews_in_Russian.pdf	0,18	pdf	show / download

Full metadata record

Field DC	Value	Language
dc.contributor.author	Gafiyatullina Guzel Rashitovna	ru_RU
dc.contributor.author	Tutubalina Elena Viktorovna	ru_RU
dc.contributor.author	Alferova Yuliya Sergeevna	ru_RU
dc.date.accessioned	2017-01-01T00:00:00Z	ru_RU
dc.date.available	2017-01-01T00:00:00Z	ru_RU
dc.date.issued	2017	ru_RU
dc.identifier.citation	Alimova I., Tutubalina E., Alferova J., Gafiyatullina G. A. Machine Learning Approach to Classification of drug reviews in Russian // Proceedings of Ivannikov ISPRAS Open Conference. - 2017	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=168482&p_lang=2	ru_RU
dc.description.abstract	Proceedings of Ivannikov ISPRAS Open Conference	ru_RU
dc.description.abstract	The automatic extraction of drug side effects from social media has gained popularity in pharmacovigilance. Information extraction methods tailored to medical subjects are essential for the task of drug repurposing and finding drug reactions. In this article, we focus on extracting information about side effects and symptoms in users' reviews about medications in Russian. We manually develop a real-world dataset by crawling user reviews from a health-related website and annotate a set of reviews on a sentence level. The paper addresses the classification problem with more than two classes, comparing a simple bag-of-words baseline and a feature-rich machine learning approach.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	drug side effects	ru_RU
dc.subject	text mining	ru_RU
dc.subject	social media	ru_RU
dc.subject	machine learning	ru_RU
dc.subject	Russian	ru_RU
dc.title	A Machine Learning Approach to Classification of drug reviews in Russian	ru_RU
dc.type	Articles in Russian journals and collections	ru_RU