A Text Mining Approach to Tracking Elements of Decision Making: a pilot study

C. Chibelushi, B. Sharp, A. Salter

Abstract

Understanding rework, the causes of rework, and the relationship between issues, decisions and the associated actions, is crucial in minimizing the fundamental industrial problems in system engineering projects. The aim of our research is to apply text mining techniques to track elements of decision making and extract semantic associations between decisions, actions and rework. Text mining is similar to data mining: while data mining seeks to discover meaningful patterns implicitly present in data, text mining aims to extract useful information and discovering semantic information hidden in texts. This paper describes work carried out as part of the first phase of our research, and investigates the effectiveness of using the text mining technique of lexical chains to identify important topics in transcribed texts. This research is part of the TRACKER research project which studies rework in system engineering projects.

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Paper Citation


in Harvard Style

Chibelushi C., Sharp B. and Salter A. (2004). A Text Mining Approach to Tracking Elements of Decision Making: a pilot study . In Proceedings of the 1st International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2004) ISBN 972-8865-05-8, pages 51-63. DOI: 10.5220/0002677000510063


in Bibtex Style

@conference{nlucs04,
author={C. Chibelushi and B. Sharp and A. Salter},
title={A Text Mining Approach to Tracking Elements of Decision Making: a pilot study},
booktitle={Proceedings of the 1st International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2004)},
year={2004},
pages={51-63},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002677000510063},
isbn={972-8865-05-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Workshop on Natural Language Understanding and Cognitive Science - Volume 1: NLUCS, (ICEIS 2004)
TI - A Text Mining Approach to Tracking Elements of Decision Making: a pilot study
SN - 972-8865-05-8
AU - Chibelushi C.
AU - Sharp B.
AU - Salter A.
PY - 2004
SP - 51
EP - 63
DO - 10.5220/0002677000510063