Topic Modeling for Web Page using LDA Algorithm and Web Content Mining

Authors

  • Mohammed Ali Mohammed University of Information Technology and Communications
  • Raad Mahmood Mohammed College of Business Informatics, University of Information Technology and Communications (UOITC)
  • Hasan Aqeel Abbood Department of Computer Science , College of Computer Science and Mathematics,University of Thi-Qar

DOI:

https://doi.org/10.32792/jeps.v15i3.686

Keywords:

Topic Model, Web Content Mining, NMF algorithm, LDA algorithm

Abstract

Information on Internet and specially on website environment is increasing rapidly day by day and become very huge, this information plays an important role for discovering various knowledge in the Web. So, this web should be choosing the strong and efficient topic title. This paper is aim to generate topic model title for this web using LDA algorithm and based on web content mining. The compared (according to Topic Similarity, Title Length, Topic Coherence, Topic Saturation) between the LDA and NMF algorithms shows that the LDA algorithm is the best algorithm for this approach with our dataset.

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Published

2025-09-01

Issue

Vol. 15 No. 3 (2025): JOURNAL OF EDUCATION FOR PURE SCIENCE

Section

Articles

License

Copyright (c) 2025 Journal of Education for Pure Science

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