Sentiment Analysis Technology of English Newspapers Quotes Based on Neural Network as Public Opinion Influences Identification Tool-Reference-Cited by-同舟云学术

Sentiment Analysis Technology of English Newspapers Quotes Based on Neural Network as Public Opinion Influences Identification Tool

Published:2022-11-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)
language:
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Author:

Voloshyn Serhii¹,Vysotska Victoria²,Markiv Oksana¹,Dyyak Ivan³,Budz Ihor⁴,Schuchmann Vadim⁵

Affiliation:

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

2. Lviv Polytechnic National University,Lviv,Ukraine

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

4. Lviv Polytechnic National University,Computational Mathematics and Programming Department,Lviv,Ukraine

5. West Ukrainian National University,Software Engineering Department,Ternopil,Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000061/10000064/10000627.pdf?arnumber=10000627

Reference55 articles.

1. Ukrainian Language Chatbot for Sentiment Analysis and User Interests Recognition based on Data Mining;kubinska;CEUR Workshop Proceedings,2022

2. The Sentiment Analysis Model of Services Providers’ Feedback

3. An Ensemble Machine Learning Approach for Twitter Sentiment Analysis;radiuk;CEUR Workshop Proceedings,2022

4. Evaluation of Vader and MultiLingual sentiment analyzers for opinion analytics using graphical illustrations;olaleye;CEUR Workshop Proceedings,2022

5. Fake News Detection with NLP and LSTM;duratnir,2020

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