What is it about?
The study champions a fresh call for a standardized, systematic, rigorous, and conscious peer review process free from emotional sentiment and that which is based on factual justification, amendment, and recommendation approach on scholarly works free from emotional sentiments, politicization, bias, criticism, and condemnation.
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Why is it important?
The study put in place a four sentiment levels to assist editors, readers, authors, and reviewers themselves determined if the academic peer reviewer exercise enough caution during the peer review process. The four sentiment levels should exercise a standardized, systematic, rigorous and conscious mindset during the peer review process with the main aim which is focus and desire for a factual justification, amendment, and recommendation. The four sentiment levels should be validated by the TP, TN, FP, & FN statements.
Perspectives
Thousands of calls have already been made to the policymakers in the education sectors around the globe before I was even born. This study is just one stone out of the millions that great scientists have thrown in the quest for a rigorous peer review process. This study believes a lot of great ideas have ended up in the graves due to the shabby peer review processes which are full of emotional sentiments. There is still enough time to adjust the peer review process with the available technological advancement. Deep learning and Natural Language Processing can see a green light in the academic peer review process if we want.
Pascal Muam Mah
AGH University of Science and Technology Krakow, Poland
Read the Original
This page is a summary of: The art of deep learning and natural language processing for emotional sentiment analysis on the academic scholars' peer review process., October 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3585059.3611422.
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