2134/5521
Alok Choudhary
Alok
Choudhary
Paul Oluikpe
Paul
Oluikpe
Jennifer Harding
Jennifer
Harding
Patricia Carrillo
Patricia
Carrillo
The needs and benefits of Text Mining applications on Post-Project Reviews
Loughborough University
2009
Text mining
Knowledge discovery
Post Project Reviews (PPRs)
Manufacturing and construction
Mechanical Engineering not elsewhere classified
Computer Software
Distributed Computing
2009-11-25 16:24:42
Journal contribution
https://repository.lboro.ac.uk/articles/journal_contribution/The_needs_and_benefits_of_Text_Mining_applications_on_Post-Project_Reviews/9451508
Post Project Reviews (PPRs) are a rich source of knowledge and data for organisations - if organisations have the time and resources to analyse them. Too often these reports are stored, unread by many who could benefit from them. PPR reports attempt to document the project experience – both good and bad. If these reports were analysed collectively, they may expose important detail, e.g. recurring problems or examples of good practice, perhaps repeated across a number of projects. However, because most companies do not have the resources to thoroughly examine PPR reports, either individually or collectively, important insights and opportunities to learn from previous projects, are missed. This research explores the application of knowledge discovery techniques and text mining to uncover patterns, associations, and trends from PPR reports. The results might then be used to address problem areas, enhance processes, and improve customer relationships. A case study related to two construction companies is presented in this paper and knowledge discovery techniques are used to analyze 50 PPR reports collected during the last three years. The case study has been examined in six contexts and the results show that Text Mining has a good potential to improve overall knowledge reuse and exploitation.