Road safety is a major concern in the mobility sector. The information available for the analysis of the road accidents is mainly in the form of textual reports. The present work explores the possibility of using Natural Language Processing (NLP) techniques for developing an automatic classifier of road accident reports. The method developed combines Hierarchical Dirichlet Processes (HDPs) and Artificial Neural Networks (ANNs). A synthetic case study is considered, with regards to a synthetic text base of accident reports.
Text mining for the automatic classification of road accident reports
D. Valcamonico;P. Baraldi;F. Amigoni;E. Zio
2020-01-01
Abstract
Road safety is a major concern in the mobility sector. The information available for the analysis of the road accidents is mainly in the form of textual reports. The present work explores the possibility of using Natural Language Processing (NLP) techniques for developing an automatic classifier of road accident reports. The method developed combines Hierarchical Dirichlet Processes (HDPs) and Artificial Neural Networks (ANNs). A synthetic case study is considered, with regards to a synthetic text base of accident reports.File in questo prodotto:
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