Textual data transformations using natural language processing for risk assessment.

Kamil, Mohammad Zaid; Taleb-Berrouane, Mohammed; Khan, Faisal; Amyotte, Paul; Ahmed, Salim

Kamil, Mohammad Zaid; Taleb-Berrouane, Mohammed; Khan, Faisal; Amyotte, Paul; Ahmed, Salim.

Afiliación

Kamil MZ; Centre for Risk, Integrity and Safety Engineering (C-RISE), Faculty of Engineering & Applied Science, Memorial University, St John's, Newfoundland, Canada.
Taleb-Berrouane M; Centre for Risk, Integrity and Safety Engineering (C-RISE), Faculty of Engineering & Applied Science, Memorial University, St John's, Newfoundland, Canada.
Khan F; Centre for Risk, Integrity and Safety Engineering (C-RISE), Faculty of Engineering & Applied Science, Memorial University, St John's, Newfoundland, Canada.
Amyotte P; Mary Kay O'Connor Process Safety Center, Artie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, Texas, USA.
Ahmed S; Department of Process Engineering and Applied Science, Dalhousie University, Halifax, Nova Scotia, Canada.

Risk Anal ; 43(10): 2033-2052, 2023 Oct.

Article en En | MEDLINE | ID: mdl-36682740

Palabras clave

Bayesian network (BN); data; microbiologically influenced corrosion (MIC); named entity recognition (NER); natural language processing (NLP); process safety; risk assessment; text mining; unstructured

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Risk Anal Año: 2023 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos

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