Every Bite Is an Experience: Key Point Analysis of Business Reviews

Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, Noam Slonim


Abstract
Previous work on review summarization focused on measuring the sentiment toward the main aspects of the reviewed product or business, or on creating a textual summary. These approaches provide only a partial view of the data: aspect-based sentiment summaries lack sufficient explanation or justification for the aspect rating, while textual summaries do not quantify the significance of each element, and are not well-suited for representing conflicting views. Recently, Key Point Analysis (KPA) has been proposed as a summarization framework that provides both textual and quantitative summary of the main points in the data. We adapt KPA to review data by introducing Collective Key Point Mining for better key point extraction; integrating sentiment analysis into KPA; identifying good key point candidates for review summaries; and leveraging the massive amount of available reviews and their metadata. We show empirically that these novel extensions of KPA substantially improve its performance. We demonstrate that promising results can be achieved without any domain-specific annotation, while human supervision can lead to further improvement.
Anthology ID:
2021.acl-long.262
Volume:
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3376–3386
Language:
URL:
https://aclanthology.org/2021.acl-long.262
DOI:
10.18653/v1/2021.acl-long.262
Bibkey:
Cite (ACL):
Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, and Noam Slonim. 2021. Every Bite Is an Experience: Key Point Analysis of Business Reviews. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 3376–3386, Online. Association for Computational Linguistics.
Cite (Informal):
Every Bite Is an Experience: Key Point Analysis of Business Reviews (Bar-Haim et al., ACL-IJCNLP 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.acl-long.262.pdf
Optional supplementary material:
 2021.acl-long.262.OptionalSupplementaryMaterial.zip
Video:
 https://aclanthology.org/2021.acl-long.262.mp4