Aspect-based opinion mining from product reviews using machine learning.

Kovaliuk, Tetiana and Tielysheva, Tamara and Kobets, Nataliya (2019) Aspect-based opinion mining from product reviews using machine learning. In: V Міжнародна науково-практична конференція "Обчислювальний інтелект (результати,проблеми,перспективи)\\V-th International Conference "Сomputational Intelligence (Results, Problems and Perspectives), 15-20 квітня 2019 р., Украіна, Ужгород.

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Abstract

The opinion mining of statements, which is in the extraction of subjective information from product reviews becomes very important due to the development of information technologies. Identifying and evaluating the positivity or negativity of expressions regarding a particular research object allows you to evaluate the success of the advertising campaing, political and economic reforms; to determine consumer attitude to certain products or services. Consequently, the task of aspect-based opinion mining concerning aspects of goods in the evaluation system adapted to the market is relevant and important.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: opinion mining
Subjects: Наукові конференції > Міжнародні
Divisions: Факультети > Факультет інформаційних технологій та управління > Кафедра комп'ютерних наук і математики
Depositing User: Наталія Михайлівна Кобець
Date Deposited: 29 Oct 2019 11:23
Last Modified: 29 Oct 2019 11:23
URI: http://elibrary.kubg.edu.ua/id/eprint/28224

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