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arXiv · 2304.04339

Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study

Zengzhi Wang·Qiming Xie·Yi Feng·Zixiang Ding·Zinong Yang·Rui Xia
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Abstract

Recently, ChatGPT has drawn great attention from both the research community and the public. We are particularly interested in whether it can serve as a universal sentiment analyzer. To this end, in this work, we provide a preliminary evaluation of ChatGPT on the understanding of \emph{opinions}, \emph{sentiments}, and \emph{emotions} contained in the text. Specifically, we evaluate it in three settings, including \emph{standard} evaluation, \emph{polarity shift} evaluation and \emph{open-domain} evaluation. We conduct an evaluation on 7 representative sentiment analysis tasks covering 17 benchmark datasets and compare ChatGPT with fine-tuned BERT and corresponding state-of-the-art (SOTA) models on them. We also attempt several popular prompting techniques to elicit the ability further. Moreover, we conduct human evaluation and present some qualitative case studies to gain a deep comprehension of its sentiment analysis capabilities.

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Zengzhi Wang, Qiming Xie, Yi Feng, Zixiang Ding, Zinong Yang, Rui Xia. 2023-04-10. Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study. https://arxiv.org/abs/2304.04339

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