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In this research we propose a model for automatic domain-relevant term extraction from Arabic text corpus. The proposed model uses a hybrid approach composed of linguistic and statistical methods to extract terms relevant to specific domains depending on prevalence and tendency term ranking mechanism. This increases precision and recall as a measures of relevancy of extracted terms to a specific domain.
The Deep Email Miner Application is a software solution for the multistaged analysis of an Email Corpus. Social network analysis and text mining techniques are connected to enable an in depth view into the underlying information.
The self-executable Version 1.1 jar file will now run on Java 1.5 or higher.
A Windows executable file of Version 1.1 is also provided in the Files section.
Documentation can be found on the project homepage.