How many keywords are enough? determining the optimal Top-K for educational website classification

Zaraini, Mohd Nazrien and Yusop, Noorrezam (2025) How many keywords are enough? determining the optimal Top-K for educational website classification. International Journal of Research and Innovation in Social Science (IJRISS), IX (VI). pp. 1574-1586. ISSN 2454-6186

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Abstract

The classification of educational websites has become increasingly challenging, as traditional indicators such as domain extensions no longer reliably reflect a site's purpose. This study investigates the optimal number of TFIDF-ranked keywords (K) required to balance classification accuracy and computational efficiency in a one-class setting. Using a curated dataset sourced from the DMOZ directory and verified educational websites, multiple Top-K keyword subsets (K = 10–200) were evaluated. A One-Class Support Vector Machine (SVM) was employed, with performance assessed through cross-validation and separate positive/negative test sets. Results indicate that classification accuracy peaks within the range of K = 30–100, with diminished performance beyond this range due to the inclusion of irrelevant or noisy terms. These findings offer a practical and scalable framework for content-based educational website classification, particularly for applications in low-resource environments, and challenge the default reliance on exhaustive keyword feature sets.

Item Type:	Article
Uncontrolled Keywords:	Ranking, Web classification, TF-IDF, Top-K, Information retrieval
Divisions:	Faculty of Information and Communication Technology
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	11 Aug 2026 03:08
Last Modified:	11 Aug 2026 03:08
URI:	http://eprints.utem.edu.my/id/eprint/30235
Statistic Details:	View Download Statistic

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