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Natural language processing in food safety research

delete2026-07-31
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OA
AI
N
Neris Özen *
F
Foteini Papadopoulou
O
Osman Mutlu
B
Bengü Öztürk
W
Wenjuan Mu
L
Leonieke M. van den Bulk
B
Bas H.M. van der Velden
A
Ali Hürriyetoğlu *
DOI:10.1016/j.fufo.2026.101152delete
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Abstract

Abstract

En 中文
Food systems are going through major changes, requiring the authorities to foresee and address rapidly evolving risks in a timely manner. Natural language processing (NLP) is a subfield of artificial intelligence that facilitates the analysis, processing and generation of human language content. Especially considering the recent developments, this subfield holds promise as a valuable toolkit for food safety research and policy.
Keywords:
natural language processing
text mining
text analysis
text analytics
food safety
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Future Foods cover
Future Foods
IF:
8.2
Papers:
1.4K
Citations:
2.4K

Organization

W
Wageningen Food & Biobased Research
Scholars:
23
Papers: 13
Citations: 0
W
wageningen food safety research
Scholars:
10
Papers: 2
Citations: 0
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