Analysis of Semantic Relationships in Ukrainian Text Content Based on Word2Vec and Machine Learning-Reference-Cited by-同舟云学术

Analysis of Semantic Relationships in Ukrainian Text Content Based on Word2Vec and Machine Learning

Published:2023-10-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT)
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Author:

Kryndach Pavlo¹,Vysotska Victoria²,Chyrun Sofia³,Chyrun Lyubomyr⁴,Goloshchuk Svitlana⁵,Holoshchuk Roman⁶

Affiliation:

1. Lviv Polytechnic National University,Information Systems and Networks Department,Lviv,Ukraine

2. Lviv Polytechnic National University,Lviv,Ukraine

3. Lviv Polytechnic National University,Telecommunication Department,Lviv,Ukraine

4. Ivan Franko National University of Lviv,Applied Mathematics Department,Lviv,Ukraine

5. University of Economics in Bratislava,Department of Intercultural Communication,Bratislava,the Slovak Republic

6. Lviv Polytechnic National University,Department of Social Communication and Information Activities,Lviv,Ukraine

Publisher

IEEE

Link

Reference18 articles.

1. Content-Based Unsupervised Fake News Detection on Ukraine-Russia War;shin;SMU Data Science Review,0

5. Comparative Analysis of Using Different Parts of Speech in the Ukrainian Texts Based on Stylistic Approach;dmytriv;CEUR Workshop Proceedings,2022