Arabic web pages clustering and annotation using semantic class features-Reference-Cited by-同舟云学术

Arabic web pages clustering and annotation using semantic class features

Published:2014-12 Issue:4 Volume:26 Page:388-397
ISSN:1319-1578
Container-title:Journal of King Saud University - Computer and Information Sciences
language:en
Short-container-title:Journal of King Saud University - Computer and Information Sciences

Author:

Alghamdi Hanan M.,Selamat Ali,Abdul Karim Nor Shahriza

Funder

Ministry of Education, Malaysia

Universiti Teknologi Malaysia

Umm Al-Qura University

Ministry of Higher Education, Saudi Arabia

Publisher

Elsevier BV

Subject

General Computer Science

Reference39 articles.

1. Sentiment analysis in multiple languages: feature selection for opinion classification in web forums;Abbasi;ACM Trans. Inf. Syst.,2008

2. Domain Specific Information Extraction For Semantic Annotation;Ahmed,2009

3. Alghamdi, H.M., Selamat, A., 2012. Topic detections in arabic Dark websites using improved vector space model. In: 4th Conference on Data Mining and Optimization (DMO). Langkawi, Malaysia, pp. 6–11.

4. Al-Khalifa, H., Al-Wabil, A., 2007. The Arabic language and the semantic web: challenges and opportunities. In: The 1st International Symposium on Computers and Arabic Language & Exhibition, Riyadh, Saudi Arabia.

5. Automated Arabic text categorization using SVM and NB;Alsaleem;Int. Arab J. e-Technol.,2011

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