Abstract
Analyzing failure trends and establishing effective coping processes for complex problems in advance is essential in telecommunication services. We propose a method for semantically analyzing and classifying customer enquiries efficiently and precisely. Our method can also construct semantic content efficiently by extracting related terms through analysis and classification. This method is based on a dependency parsing and co-occurrence technique to enable classification of a large amount of unstructured data into patterns because customer enquiries are generally stored as unstructured textual data.
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Iwashita, M., Shimogawa, S., Nishimatsu, K. (2009). Text Mining for Customer Enquiries in Telecommunication Services. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04592-9_29
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DOI: https://doi.org/10.1007/978-3-642-04592-9_29
Publisher Name: Springer, Berlin, Heidelberg
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