Abstract
This chapter provides details of the interviews collected, and their subsequent categorisation and analysis using the text-mining tool. Several advanced concepts used in text mining analysis are defined, followed by qualitative data analysis. Issues are identified in detail and a scientific approach is presented to justify the issues identified as being those relevant to the port in terms of logistics and transport.
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Faed, A. (2013). Analytical Text Mining in I-CRM for Customer Complaint Analysis. In: An Intelligent Customer Complaint Management System with Application to the Transport and Logistics Industry. Springer Theses. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00324-5_5
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DOI: https://doi.org/10.1007/978-3-319-00324-5_5
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