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.

Project Activity

See All Activity >

Categories

Email

Follow AADRTE

AADRTE Web Site

Other Useful Business Software

Any Platform Anywhere: The Best Workflow Software Any Platform Anywhere: The Best Workflow Software Icon
Any Platform Anywhere: The Best Workflow Software Icon

Empower employees to improve their productivity with nocode process automation tools.

Most people intuitively understand how workflows can streamline and speed up their business processes, integrate systems and route content to the right people. While every business has different needs, requirements and goals, workflow automation can help everyone. Whether you’re a company of 500 or 5,000, based in the cloud or on-premises, workflow automation can help maximize the efficiency of your business processes.

Rate This Project

Login To Rate This Project

User Reviews

Be the first to post a review of AADRTE!

Additional Project Details

Languages

Arabic

Intended Audience

Education

User Interface

Non-interactive (Daemon)

Programming Language

Java

Registered

2012-08-22