Global Journal of Information Technology: Emerging Technologies

Global Journal of Information Technology: Emerging Technologies

A novel approach for keyword extraction in learning objects using text mining and WordNet

Yazarlar: Ahmad A . Kardan, Farzad Farahmandnia, Amin Omidvar

Cilt 3 , Sayı 1 , 2013 , Sayfalar -

Konular:

Anahtar Kelimeler:Text mining,WordNet,Ontology,Keyword extraction

Özet: Keyword extraction and concept finding in learning objects is one of the most important subjects in eLearning environments.  In this paper a novel model is presented in order to improve concept finding in learning objects. For this reason, text mining methods accompanied by ontology of WordNet dictionary are employed. First of all, candidate words are selected using TFIDF algorithm.  Then unrelated concepts are deselected by proposed algorithm using WordNet dictionary. The remaining concepts are considered as the most important keywords –or concepts- in the provided learning object.  

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@article{2013, title={A novel approach for keyword extraction in learning objects using text mining and WordNet}, volume={3}, number={0}, publisher={Global Journal of Information Technology: Emerging Technologies}, author={Ahmad A . Kardan, Farzad Farahmandnia, Amin Omidvar}, year={2013} }
APA
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Ahmad A . Kardan, Farzad Farahmandnia, Amin Omidvar. (2013). A novel approach for keyword extraction in learning objects using text mining and WordNet (Vol. 3). Vol. 3. Global Journal of Information Technology: Emerging Technologies.
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Ahmad A . Kardan, Farzad Farahmandnia, Amin Omidvar. A Novel Approach for Keyword Extraction in Learning Objects Using Text Mining and WordNet. no. 0, Global Journal of Information Technology: Emerging Technologies, 2013.
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