Sentiment Analysis on Telemedicine App Reviews using XGBoost Classifier-Reference-Cited by-同舟云学术

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Sentiment Analysis on Telemedicine App Reviews using XGBoost Classifier

Published:2021-10-27 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Artificial Intelligence and Big Data Analytics
language:
Short-container-title:

Author:

Afifah Khansa¹,Yulita Intan Nurma²,Sarathan Indra³

Affiliation:

1. Universitas Padjadjaran,Department of Mathematics,Sumedang,Indonesia

2. Universitas Padjadjaran,Department of Informatics Engineering,Sumedang,Indonesia

3. Universitas Padjadjaran,Department of Indonesian Literature,Sumedang,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9688570/9689693/09689735.pdf?arnumber=9689735

Reference17 articles.

1. Analysis and Opinion Mining. Synthesis Lectures on Human Language Technologies;liu,2018

2. Machine learning and semantic analysis of in-game chat for cyberbullying

3. Sentiment analysis of Twitter data during critical events through Bayesian networks classifiers

4. Emotion Classification on Indonesian Twitter Dataset

5. Twitter Sentiment Analysis Based on Ordinal Regression

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2. Comparison of Word2vec and Doc2vec Methods for Text Classification of Product Reviews;2022 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE);2022-12-13

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