Leverage text mining for analyzing accident reports of automated train control systems

• Author(s) / Creator(s)

  • Mona Ahmadi Rad,
  • Lianne Lefsrud,
  • Michael Hendry

• Railway occurrence databases and reports are great sources of safety information, involving the semi-structured and unstructured textual descriptions of railway incidents or accidents along with numerical data.
  Recently, the advent of natural language processing (NLP) technology has offered tremendous possibilities for automatically exploring text corpora and discovering implicit information. This contains everything from information retrieval to text classification and clustering, to the entity, relation, and event extraction.

• Date created

  2022-02-18

• Subjects / Keywords

  • Text mining, Machine learning,
  • Railway accidents, Automated train control systems

• Type of Item

  Conference/Workshop Poster

• DOI

  https://doi.org/10.7939/r3-nk9j-9r08

• License

  Attribution-NonCommercial 4.0 International