Benchmarking Open-Source Large Language Models for Sentiment and Emotion Classification in Indonesian Tweets

Benchmarking Open-Source Large Language Models for Sentiment and Emotion Classification in Indonesian Tweets

We benchmark 22 open-source large language models (LLMs) against ChatGPT-4 and human annotators on two NLP tasks—sentiment analysis and emotion classification—for Indonesian tweets. This study contributes to NLP in a relatively low-resource language (Bahasa Indonesia) by evalua...

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Bibliographic Details
Main Authors: Arbi Haza Nasution, Aytug Onan, Yohei Murakami, Winda Monika, Anggi Hanafiah
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Annotation quality
emotion classification
sentiment analysis
Indonesian language processing
language models
low-resource languages
Online Access:https://ieeexplore.ieee.org/document/11016677/
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https://ieeexplore.ieee.org/document/11016677/

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