Year: 2020
Type: conference-paper
Abstract: Scientific papers are complex and understanding the usefulness of these papers requires prior knowledge. Peer reviews are comments on a paper provided by designated experts on that field and hold a substantial amount of information, not only for the editors and chairs to make the final decision, but also to judge the potential impact of the paper. In this paper, we propose to use aspect-based sentiment analysis of scientific reviews to be able to extract useful information, which correlates well with the accept/reject decision.
Authors: Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee
Institution: Indian Institute of Technology Kharagpur
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Tata Consultancy Services
OpenAlex ID: W3033536844