A GAN-BERT based decision making approach in peer review

Peer review comments are feedback provided to editors and authors by subject matter experts in order to assess a research work’s qualities. Those remarks represent the opinions of reviewers regarding the caliber and correctness of the study. They must provide evidence to support the reviewer’s choic...

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Bibliographic Details
Published inSocial network analysis and mining Vol. 14; no. 1; p. 107
Format Journal Article
LanguageEnglish
Published Heidelberg Springer Nature B.V 22.05.2024
Subjects
Automation
Datasets
Decision making
Peer review
Sentiment analysis
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Summary:Peer review comments are feedback provided to editors and authors by subject matter experts in order to assess a research work’s qualities. Those remarks represent the opinions of reviewers regarding the caliber and correctness of the study. They must provide evidence to support the reviewer’s choice to accept or reject the submitted paper. This research suggests a GAN-BERT based method to analyze the reviewers’ sentiment from their comments and automatically produce an unbiased and objective final evaluation about the acceptance or the rejection of the manuscript. Experimental findings show that our suggested approach is effective.
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content type line 14
ISSN:1869-5450
1869-5469
DOI:10.1007/s13278-024-01269-y