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Big Data and Natural Language Processing for Analysing Railway Safety

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

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Big Data and Natural Language Processing for Analysing Railway Safety. / Syeda, Kanza Noor; Shirazi, Syed Noor Ul Hassan ; Naqvi, Syed Asad Ali et al.
Innovative Applications of Big Data in the Railway Industry. ed. / Dr. Shruti Kohli; Dr. A.V. Senthil Kumar; Dr. J.M. Easton; Prof. C. Roberts. IGI Global Publishing, 2017. p. 240-267.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Syeda, KN, Shirazi, SNUH, Naqvi, SAA, Parkinson, HJ & Bamford, G 2017, Big Data and Natural Language Processing for Analysing Railway Safety. in DS Kohli, DAVS Kumar, DJM Easton & PC Roberts (eds), Innovative Applications of Big Data in the Railway Industry. IGI Global Publishing, pp. 240-267.

APA

Syeda, K. N., Shirazi, S. N. U. H., Naqvi, S. A. A., Parkinson, H. J., & Bamford, G. (2017). Big Data and Natural Language Processing for Analysing Railway Safety. In D. S. Kohli, D. A. V. S. Kumar, D. J. M. Easton, & P. C. Roberts (Eds.), Innovative Applications of Big Data in the Railway Industry (pp. 240-267). IGI Global Publishing.

Vancouver

Syeda KN, Shirazi SNUH, Naqvi SAA, Parkinson HJ, Bamford G. Big Data and Natural Language Processing for Analysing Railway Safety. In Kohli DS, Kumar DAVS, Easton DJM, Roberts PC, editors, Innovative Applications of Big Data in the Railway Industry. IGI Global Publishing. 2017. p. 240-267

Author

Syeda, Kanza Noor ; Shirazi, Syed Noor Ul Hassan ; Naqvi, Syed Asad Ali et al. / Big Data and Natural Language Processing for Analysing Railway Safety. Innovative Applications of Big Data in the Railway Industry. editor / Dr. Shruti Kohli ; Dr. A.V. Senthil Kumar ; Dr. J.M. Easton ; Prof. C. Roberts. IGI Global Publishing, 2017. pp. 240-267

Bibtex

@inbook{d16571299ae24966aa66801a2ad49a0d,
title = "Big Data and Natural Language Processing for Analysing Railway Safety",
abstract = "In this work, we focus on accident causation for the railway industry by exploiting text analysis approaches mainly Natural Language Processing (NLP). We review and analyse investigation reports of railway accidents in the UK, published by the Rail Accident Investigation Branch (RAIB), aiming to reveal the presence of entities which are informative of causes and failures such as human, technical and external. We give an overview of a framework based on NLP and machine learning to analyse the raw text from RAIB reports which would assist risk and incident analysis experts to study causal relationship between causes and failurestowards the overall safety in rail industry. The approach can also be generalized to other safety critical domains such as aviation etc.",
keywords = "Railway safety, rail, incident analysis, accident causation model",
author = "Syeda, {Kanza Noor} and Shirazi, {Syed Noor Ul Hassan} and Naqvi, {Syed Asad Ali} and Parkinson, {Howard J.} and Gary Bamford",
year = "2017",
month = nov,
language = "English",
isbn = "9781522531760",
pages = "240--267",
editor = "Kohli, {Dr. Shruti } and Kumar, {Dr. A.V. Senthil } and Easton, {Dr. J.M. } and Roberts, {Prof. C. }",
booktitle = "Innovative Applications of Big Data in the Railway Industry",
publisher = "IGI Global Publishing",
address = "United States",

}

RIS

TY - CHAP

T1 - Big Data and Natural Language Processing for Analysing Railway Safety

AU - Syeda, Kanza Noor

AU - Shirazi, Syed Noor Ul Hassan

AU - Naqvi, Syed Asad Ali

AU - Parkinson, Howard J.

AU - Bamford, Gary

PY - 2017/11

Y1 - 2017/11

N2 - In this work, we focus on accident causation for the railway industry by exploiting text analysis approaches mainly Natural Language Processing (NLP). We review and analyse investigation reports of railway accidents in the UK, published by the Rail Accident Investigation Branch (RAIB), aiming to reveal the presence of entities which are informative of causes and failures such as human, technical and external. We give an overview of a framework based on NLP and machine learning to analyse the raw text from RAIB reports which would assist risk and incident analysis experts to study causal relationship between causes and failurestowards the overall safety in rail industry. The approach can also be generalized to other safety critical domains such as aviation etc.

AB - In this work, we focus on accident causation for the railway industry by exploiting text analysis approaches mainly Natural Language Processing (NLP). We review and analyse investigation reports of railway accidents in the UK, published by the Rail Accident Investigation Branch (RAIB), aiming to reveal the presence of entities which are informative of causes and failures such as human, technical and external. We give an overview of a framework based on NLP and machine learning to analyse the raw text from RAIB reports which would assist risk and incident analysis experts to study causal relationship between causes and failurestowards the overall safety in rail industry. The approach can also be generalized to other safety critical domains such as aviation etc.

KW - Railway safety, rail, incident analysis, accident causation model

M3 - Chapter

SN - 9781522531760

SP - 240

EP - 267

BT - Innovative Applications of Big Data in the Railway Industry

A2 - Kohli, Dr. Shruti

A2 - Kumar, Dr. A.V. Senthil

A2 - Easton, Dr. J.M.

A2 - Roberts, Prof. C.

PB - IGI Global Publishing

ER -