Determining sentiment and important properties of Ukrainian-language user reviews

Babenko, Dmytro

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Students Research & Project Works | Роботи студентів
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Факультет прикладних наук
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Освітня програма наук про дані
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2020
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dc.contributor.author	Babenko, Dmytro
dc.date.accessioned	2020-02-24T15:22:35Z
dc.date.available	2020-02-24T15:22:35Z
dc.date.issued	2020
dc.identifier.citation	Babenko, Dmytro. Determining sentiment and important properties of Ukrainian-language user reviews : Master Thesis : manuscript rights / Dmytro Babenko ; Supervisor Vsevolod Dyomkin ; Ukrainian Catholic University, Department of Computer Sciences. – Lviv : [s.n.], 2020. – 35 p. : ill.	uk
dc.identifier.uri	http://er.ucu.edu.ua/handle/1/2042
dc.language.iso	en	uk
dc.subject	Natural Language Processing (NLP)	uk
dc.subject	Sentiment analysis	uk
dc.subject	Pointwise Mutual Information	uk
dc.title	Determining sentiment and important properties of Ukrainian-language user reviews	uk
dc.type	Preprint	uk
dc.status	Публікується вперше	uk
dc.description.abstracten	Every day a lot of visitors leave countless reviews about hotels, restaurants, cafes, attractions or other services. In most cases, they set the rate about this service, sometimes they also set the rate about the speciﬁc topic if service provides this possibility. However, the main information about user opinion is hidden inside the body of review text. Thereby, in this work, we propose a solution to analyze one or several user reviews, determine sentiments and acquire important characteristics for these reviews. We determine which characteristics were inﬂuenced by such reviews. In this case, the proposed solution can detect sentiments from text and classify for positive and negative. Then it acquires top positive and negative phrases, which can explain why the user left such review. Besides, we analyze all reviews about one hotel or just several reviews and summarize the most important positive and negative properties for a speciﬁc hotel.	uk