TY - GEN
T1 - Investigating the Usefulness of Product Reviews Through Bipolar Argumentation Frameworks
AU - Keshavarzi Zafarghandi, Atefeh
AU - Qi, Ji
AU - Hollink, Laura
AU - Tjong Kim Sang, Erik
AU - Ceolin, Davide
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - The importance of useful product reviews cannot be overstated, as they not only provide crucial information to potential buyers but also offer valuable feedback to the businesses or individuals under review. Providing useful reviews to consumers has gained significant attention as an effective market analysis tool for companies. Numerous studies have delved into the facets that contribute to predicting the usefulness of reviews, encompassing a spectrum from philosophical insights to advancements in artificial intelligence. In this work, we study how to use the argument structure of reviews to identify the most useful reviews in a set of annotated product reviews. In particular, we use quantitative bipolar argumentation frameworks (QBAFs) to construct a model of review arguments and topics, and we apply reasoning to such a model to identify useful reviews. Our results show that indeed argument reasoning, and QBAFs in particular, provide an insightful and well-performing means to analyze the usefulness of reviews.
AB - The importance of useful product reviews cannot be overstated, as they not only provide crucial information to potential buyers but also offer valuable feedback to the businesses or individuals under review. Providing useful reviews to consumers has gained significant attention as an effective market analysis tool for companies. Numerous studies have delved into the facets that contribute to predicting the usefulness of reviews, encompassing a spectrum from philosophical insights to advancements in artificial intelligence. In this work, we study how to use the argument structure of reviews to identify the most useful reviews in a set of annotated product reviews. In particular, we use quantitative bipolar argumentation frameworks (QBAFs) to construct a model of review arguments and topics, and we apply reasoning to such a model to identify useful reviews. Our results show that indeed argument reasoning, and QBAFs in particular, provide an insightful and well-performing means to analyze the usefulness of reviews.
KW - Bipolar Argumentation Frameworks
KW - Product Reviews
KW - Review Usefulness
UR - https://www.scopus.com/pages/publications/85197797388
UR - https://www.scopus.com/pages/publications/85197797388#tab=citedBy
U2 - 10.1007/978-3-031-62362-2_21
DO - 10.1007/978-3-031-62362-2_21
M3 - Conference contribution
AN - SCOPUS:85197797388
SN - 9783031623615
T3 - Lecture Notes in Computer Science
SP - 296
EP - 308
BT - Web Engineering
A2 - Stefanidis, Kostas
A2 - Systä, Kari
A2 - Matera, Maristella
A2 - Heil, Sebastian
A2 - Kondylakis, Haridimos
A2 - Quintarelli, Elisa
PB - Springer Nature Switzerland AG
T2 - 24th International Conference on Web Engineering, ICWE 2024
Y2 - 17 June 2024 through 20 June 2024
ER -