What is it about?
This article proposes an active approach for stemming Kurdish Sorani texts to reduce variations of words to single terms or stems. The outcomes of the process, described in this article, demonstrate that decreasing the dimensionality of feature vectors in documents will increase the effectiveness of retrieval when the stemming process is used.
Why is it important?
This process applied for Kurdish Sorani can be adapted and applied in Kurdish Kurmanji as well for greater efficiency and effectiveness in digital text classification and applications.
The following have contributed to this page: Dr Tarik A. Rashid and Arazo M. Mustafa