Abstract
Recently, generative artificial intelligence, such as ChatGPT, has attracted significant attention from various industrial and academic fields; with this, ChatGPT has been predicted to replace programmers in several fields. However, in principle, ChatGPT is a machine that generates sentences similar to those of programmers and is unlikely to replace them. When an author published this in a blog post, it received significant attention. In this study, we recorded responses to the blog article and attempted simple text analyses. Specifically, after classifying the comments using sentiment analysis, co-occurrence network diagrams and word clouds were created for positive and negative comments, and their trends were evaluated.
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Notes
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The final instruction shown above has a code fragment at the end.
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It was manually operated.
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A concatenation process on sequential nouns was applied to the morphological analysis result.
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Acknowledgment
We would like to thank the laboratory members and colleagues for providing the initial idea for this study and the contributors of the Hatena bookmark comments on my blog article.
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Iio, J. (2023). Analysis of Critical Comments on ChatGPT. In: Barolli, L. (eds) Advances in Networked-based Information Systems. NBiS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-031-40978-3_48
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DOI: https://doi.org/10.1007/978-3-031-40978-3_48
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