A corpus-based semantic kernel for text classification by using meaning values of terms-Reference-Cited by-同舟云学术

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A corpus-based semantic kernel for text classification by using meaning values of terms

Published:2015-08 Issue: Volume:43 Page:54-66
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Altınel Berna,Can Ganiz Murat,Diri Banu

Funder

Scientific and Technological Research Council of Turkey (TÜBİTAK)

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference51 articles.

1. Introduction to Machine Learning;Alpaydın,2004

2. Altınel, B., Ganiz, M.C., Diri, B., 2013. A novel higher-order semantic kernel. In: Proceedings of the IEEE 10th International Conference on Electronics Computer and Computation (ICECCO), pp. 216−219.

3. Altınel, B., Ganiz, M.C., Diri, B., 2014a. A semantic kernel for text classification based on iterative higher-order relations between words and documents. In: Proceedings of the 13th International Conference on Artificial Intelligence and Soft Computing (ICAISC), Lecture Notes in Artificial Intelligence (LNAI),vol. 8467, pp. 505–517.

4. Altınel, B., Ganiz, M.C., Diri, B., 2014b. A simple semantic kernel approach for svm using higher-order paths. In: Proceedings of the IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA), pp. 431−435.

5. Balinsky, A., Balinsky, H., Simske, S., 2010. On the Helmholtz principle for documents processing. In: Proceedings of the 10th ACM Document Engineering (DocEng).

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