SETAR: Stacking Ensemble Learning for Thai Sentiment Analysis Using RoBERTa and Hybrid Feature Representation-Reference-Cited by-同舟云学术

SETAR: Stacking Ensemble Learning for Thai Sentiment Analysis Using RoBERTa and Hybrid Feature Representation

Author:

Thiengburanathum Pree¹^ORCID,Charoenkwan Phasit²

Affiliation:

1. Department of Software Engineering, College of Arts Media and Technology, Chiang Mai University, Chiang Mai, Thailand

2. Department of Modern Management Information and Technology, College of Arts Media and Technology, Chiang Mai University, Chiang Mai, Thailand

Funder

Thai National Research Council

KhonThai 4.0 Project

College of Arts, Media, and Technology at Chiang Mai University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference62 articles.

2. Practical Bayesian optimization of machine learning algorithms;snoek;arXiv 1206 2944,2012

4. Adam: A method for stochastic optimization;kingma;arXiv 1412 6980,2017

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