Abstract
In Military domain, knowledge can also be categorized into explicit knowledge and tacit knowledge, where the explicit military knowledge can be any form of knowledge that can easily articulated, codified, accessed and stored into various media forms. Further, advanced computer technologies give a convenient platform for digitizing documents, producing web documents and electronic documents, including this explicit military knowledge (e.g. military peacekeeping documents). The main goal here is to discover useful knowledge from military peacekeeping documents. Yet, text mining is a powerful technique that is widely used for discovering useful patterns and knowledge specially in unstructured text documents. This paper describes Text Analytics of Unstructured Data (TAUD) framework for analyzing and discovering significant text patterns exist in the military text documents. The framework consists of three (3) components: (i) data collection (ii) document preprocessing and (iii) text analytics and visualization which are word cloud and document clustering using K-Means algorithm. The findings of this study allow the military commanders and training officers to understand and access the military knowledge which they had learnt and gathered during the training programs before they can be deployed into a peacekeeping mission.
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Acknowledgements
The authors would like to thank Universiti Pertahanan Nasional Malaysia (UPNM) and Kementerian Pendidikan Malaysia (KPM) under NRGS/2013/UPNM/PK/P3 for sponsoring this publication.
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Zainol, Z., Marzukhi, S., Nohuddin, P.N.E., Noormaanshah, W.M.U., Zakaria, O. (2017). Document Clustering in Military Explicit Knowledge: A Study on Peacekeeping Documents. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2017. Lecture Notes in Computer Science(), vol 10645. Springer, Cham. https://doi.org/10.1007/978-3-319-70010-6_17
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