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Generating Comparative Table by LLM-Based Product Review Summarization

  • 2026
  • OriginalPaper
  • Chapter
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Abstract

This chapter delves into the innovative use of large language models (LLMs) to generate comparative tables from product reviews, revolutionizing the way products are compared. The method involves extracting aspects, sub-aspects, and evaluations from reviews, then summarizing them into a structured table format. This approach allows for quick and efficient product comparisons, saving users time and effort. The chapter also discusses the prototype system developed to implement this method and the user study conducted to evaluate its effectiveness. The results of the user study show that the proposed method is useful for product comparison, with participants rating it higher than the baseline method in subjective evaluations. The chapter concludes with a discussion of the limitations of the study and suggestions for future work, providing a comprehensive overview of this novel approach to product comparison.

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Title
Generating Comparative Table by LLM-Based Product Review Summarization
Authors
Kanako Nakai
Takehiro Yamamoto
Hiroaki Ohshima
Copyright Year
2026
DOI
https://doi.org/10.1007/978-3-032-11976-6_3
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