Development of benchmark datasets for text mining and sentiment analysis to accelerate regulatory literature review
Regulatory Toxicology and Pharmacology(2023)
摘要
In the field of regulatory science, reviewing literature is an essential and important step, which most of the time is conducted by manually reading hundreds of articles. Although this process is highly time-consuming and labor-intensive, most output of this process is not well transformed into machine-readable format. The limited availability of data has largely constrained the artificial intelligence (AI) system development to facilitate this literature reviewing in the regulatory process.
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关键词
Benchmark dataset,Literature analysis,Regulatory review,Artificial intelligence,Text mining
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