Paper review utility dataset in ASP format for the paper "Introducing Facets and Advanced Utility Functions inHigh-Utility Pattern Mining" by F. Cauteruccio and G. Terracina, currently submitted.
The dataset is build upon the work presented in [1] which addresses aspect-based sentiment analysis of scientific reviews to extract useful information and correlate them with the accept/reject decision.
The folder dataset contains a text file for each paper p. Each file contains the reviews for that paper, in ASP format as described in the paper.
[1] S. Chakraborty, P. Goyal, A. Mukherjee, Aspect-based sentiment analysisof scientific reviews, in: JCDL ’20: Proceedings of the ACM/IEEE JointConference on Digital Libraries in 2020, Virtual Event, China, August 1-5,2020, 2020, pp. 207–216, ACM