Abstract
Email is one of the most successful asynchronous communications yet devised. Many Researchers and Scientists often spend large proportions of their time using email for information and knowledge sharing. Research has not yet addressed how we can use emails as a source of information and knowledge. This study therefore presents a quantitative analysis of the emails to address these new questions. We discus the challenges that arise in email analyzing and classification We provide background, procedures for using natural language processing and text mining techniques for dealing with automatic knowledge extraction from email database.
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Sadeghi, M., Hadj-Hamou, K., Gardoni, M. (2008). Methods for Analyzing Information Contained in an Enterprise Email Database. In: Sarbazi-Azad, H., Parhami, B., Miremadi, SG., Hessabi, S. (eds) Advances in Computer Science and Engineering. CSICC 2008. Communications in Computer and Information Science, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89985-3_63
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DOI: https://doi.org/10.1007/978-3-540-89985-3_63
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