IMPACT FACTOR 1.602* Call for papers Journal of Risk and Reliability

Special Issue on “Text Mining and Natural Language Processing Applied to Risk Analysis, Maintenance and Safety”

Guest Editors Prof. Márcio das Chagas Moura Prof. Enrique López Droguett Prof. Piero Baraldi Prof. Enrico Zio journals.sagepub.com/home/pio *Source: 2019 Journal Citation Reports®, Clarivate Analytics, 2020

Text Mining Applied to Risk Analysis, Maintenance and This Special Issue invites contributions in the field of “Text Safety Mining and Natural Language Processing applied to Risk Analysis, Maintenance and Safety”. The guest editors

encourage authors to submit research articles with an original Mining knowledge for Risk Analysis often requires the perspective and advanced thinking on this topic and related consultation of dense engineering documents, which is issues. Potential topics include, but are not limited to, the exhaustive in practice. These documents contain relevant following: information in text format that is used by safety experts to • Text Mining and NLP based Risk Identification; characterize the system and postulate different hypotheses on hazards, accident scenarios, and system responses. In this • Text Mining and NLP to Summarize Engineering context, text mining and natural language processing (NLP) Documents; are expanding research areas, which have become popular in • Text Mining and NLP based Accident Prevention; both academia and business. Indeed, they represent an effective way to automatically extract information from large • Text Mining and NLP based Risk Classification. documents. For instance, the applications of text mining and

NLP for Reliability, Availability, Maintainability and Safety Deadlines (RAMS) purposes may include the identification of patterns hidden in reports about maintenance services and accident Submission starts at: 19th April 2021 investigations, or the development of automated risk analysis reports. The overall goal is to uncover useful knowledge Submission deadline: 19th June 2021 through the application of linguistic, statistical and machine Publication: September-October 2021 learning techniques to text reports. Currently, deep learning techniques are intensely studied for developing solutions to different NLP problems and their use in support to risk analysis, maintenance and safety seems promising. Submit your manuscripts online at mc.manuscriptcentral.com/jrr

Submit your manuscripts online at mc.manuscriptcentral.com/jrr