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Advances in Computer Communication and Computational Sciences pp 535–547Cite as

Tourism Web Filtering and Analysis Using Naïve Bay with Boundary Values and Text Mining

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 924))

Abstract

This paper proposes a technique to filter tourism websites and datamining to analyze keywords to improve searching on tourism websites as Search Engine Optimization (SEO). This work focuses on tourist sites or attractions, hotel or accommodation, and restaurant in the tourist provinces as a core keywords. Content in websites is retrieved from Google with queries of 11 Thai famous tourism provinces. From all retrieved results, filtering using Naïve Bayes algorithm with Boundary Values is performed to detect only relevant content as 6,171 filtered websites (66.55%) from 9,273 retrieved websites. From keyword analysis method, we compared three methods including (1) keywords from Apriori algorithm, (2) keywords from frequent terms within websites, and (3) keywords by frequency of terms from the ontology. The experiment results are conclusive that keywords from frequent terms within websites performed best. The keywords are usable to customize the websites to improve search ranking.

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Author information

Authors and Affiliations

  1. Department of Applied Science, Faculty of Science and Technology, Nakhon Sawan Rajabhat University, Nakhon Sawan, Thailand

    Naruepon Panawong & Akkasit Sittisaman

Authors
  1. Naruepon Panawong
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  2. Akkasit Sittisaman
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Corresponding author

Correspondence to Naruepon Panawong .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Missouri–St. Louis, St. Louis, MO, USA

    Sanjiv K. Bhatia

  2. CSED, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  3. Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    Krishn K. Mishra

  4. Department of Information Technology, Rajkiya Engineering College, Azamgarh, Uttar Pradesh, India

    Munesh C. Trivedi

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Cite this paper

Panawong, N., Sittisaman, A. (2019). Tourism Web Filtering and Analysis Using Naïve Bay with Boundary Values and Text Mining. In: Bhatia, S., Tiwari, S., Mishra, K., Trivedi, M. (eds) Advances in Computer Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 924. Springer, Singapore. https://doi.org/10.1007/978-981-13-6861-5_46

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