What is it about?
A novel end-to-end approach of a text-based classification model to classify predatory and non-predatory journals using SciBERT
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Why is it important?
• Rapid increase in the number of predatory journals • It has become hard to distinguish between authentic and predatory articles • Predatory journals are bypassing standard detection methods • There is a need for automated data-driven text-based model for this task
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This page is a summary of: SciPred: An end to end approach to classify predatory journals, January 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3493700.3493764.
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