Tourism Web Analysis Using Semantic Word Weight Calculation and Fuzzy Logic
Keywords:
Word Weight, Fuzzy Logic, Web Analysis, OntologyAbstract
This research goal is to analyze tourism websites, using the weight calculation techniques for the semantic words and fuzzy logic. The technique’s efficiency is evaluated by the F-Measure. The web analysis consists of 3 procedures: (1) Architecture design of the web analysis presents the overview of the experiment and constructs semantic keywords from the tourism ontology and the co-occurrence keywords from the tourism websites. (2) Websites analysis is written in Python to extract contents from the body tags of the websites, and for the model learning is obtained from the Google search results, using 647 tourist websites from Truehits. There are 68 semantic keywords were weighted and each of the website’ probability will be calculated.
(3) Fuzzy logic is utilized for setting a threshold, and membership will be described by F-Measure using the triangular membership function to construct 5 fuzzy rule bases IF <condition> THEN. This can inference and seek the center of gravity for the best of the thresholds. The analysis result was found that the best threshold was 10.65. The evaluation with 500 tourism websites was found around 83.80 percent of the related tourism terms. The efficiency was about 93.21 percent with 100 percent of the precision and 87.29 percent of the recall.
References
คมคิด ชัชราภรณ์, ธรา อั่งสกุล และ จิติมนต์ อั่งสกุล. (2555). แบบจำลองการจัดหมวดหมู่สถานที่ท่องเที่ยวโดยใช้เทคนิคการเรียนรู้ของเครื่อง. วารสารเทคโนโลยีสุรนารี, 6(2), 35-58. https://so05.tcithaijo.org/index.php/sjss/article/view/81977
ตฤณสิษฐ์ ไกรสินบุรศักดิ์, ประสาท แสงพันธุ์ตา, พุทธธินันทร์ จารุวัฒน์, อนุชา เชาว์โชติ, มงคล ตุ่นเฮ้า, นิรุติ บุญญา, มานพ คันธามารัตน์, รัชดา ปรัชเจริญวนิชย์, อนุสรณ์ เทียนศิริฤกษ์ และ กันต์ธกรณ์ เขาทอง. (2566). การจำลองการให้น้ำอ้อยด้วยตัวควบคุมแบบฟัซซี่. วารสารวิชาการเกษตร, 41(1). 80-90.
พิมพ์วิภา ตราชูวณิช และ ณัฐพงศ์ พันธ์น้อย. (2565). พฤติกรรมการท่องเที่ยวของนักท่องเที่ยวคุณภาพในบริบทประเทศไทย. สาระศาสตร์, 3, 497-508.
Adila, N., Sembiring, F., & Jatmiko, W. (2022). Implementation of Web Scraping for Journal Data Collection on the SINTA Website. Sinkron : Jurnal dan Penelitian Teknik Informatika, 7(4), 2478-2485. https://doi.org/10.33395/sinkron.v7i4.11576
Khder, M. A. (2021). Web Scraping or Web Crawling: State of Art, Techniques, Approaches and Application. International Journal of Advances in Soft Computing & Its Applications, 13(3), 144-168. https://doi.org/10.15849/IJASCA.211128.11
Kumar, N., Gupta, M., Sharma, D., & Ofori, I. (2022). Technical Job Recommendation System Using APIs and Web Crawling. Computational Intelligence and Neuroscience, 2022, 1-11, https://doi.org/10.1155/2022/7797548
Lin, P., Chen, L., & Luo, Z. (2022). Analysis of Tourism Experience in Haizhu National Wetland Park Based on Web Text. Sustainability, 14(5), 1-16. https://doi.org/10.3390/su14053011
Namahoot, C. S., Lobo, D., & Kabbua, S. (2014). Enhancement of a Text Clustering Technique for the Classification of Thai Tourism Websites. In EEEE, International Computer Science and Engineering Conference, (pp. 203-208). https://doi.org/10.1109/ICSEC.2014.6978195
Namahoot, C. S., & Lobo, D. (2019). A Thailand Tourism Web Analysis and Clustering Tool Using a Word Weight Calculation Algorithm. Journal of Computers, 30(2), 116-125. https://doi.org/10.3966/199115992019043002010
Nilashi, M, Yadegaridehkordi, E. Ibrahim, O., Samad, S., Ahani, A., & Sanzogni, L. (2019). Analysis of Travellers’ Online Reviews in Social Networking Sites Using Fuzzy Logic Approach. International Journal of Fuzzy Systems, 21, 1367-1378. https://doi.org/10.1007/s40815-019-00630-0
Panawong, N., & Sittisaman, A. (2019). Tourism Web Filtering and Analysis using Naïve Bay with Boundary Values and Text Mining. Advances in Intelligent Systems and Computing, 924, 535-547. https://doi.org/10.1007/978-981-13-6861-5_46
Sachenko, A., Banasik, A., & Kapczynski, A. (2009). The concept of Application of Fuzzy logic In Biometric Authentication Systems. Springer-Verlag Berlin Heidelberg, 53, 274-279. https://doi.org/10.1007/978-3-540-88181-0_35
Sahu, S., Divya, K., Rastogi, N., Yadav, P. K., & Perwej, Y. (2022). Sentimental Analysis on Web Scraping Using Machine Learning Method. Journal of Information and Computational Science, 12(8), 24-29.
Similarweb. (2566, ตุลาคม). Top Websites Ranking. https://www.similarweb.com/top-websites/computers-electronics-and-technology/search-engines
Sittisaman, A., & Panawong, N. (2019). A Development of Real-time Tourism Information Recommendation System for Smart Phone Using Responsive Web Design, Spatial and Temporal Ontology. International Journal of Engineering and Advanced Technology, 8(5), 994-999. https://www.ijeat.org/wp-content/uploads/papers/v8i5/E7066068519.pdf
Downloads
Published
Issue
Section
License
Copyright (c) 2024 SCIENCE AND TECHNOLOGY NAKHON SAWAN RAJABHAT UNIVERSITY JOURNAL
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
