Event Based Multiple Tourism Themes’ Determination From Texts For Alternative Tourism Recommendations

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Nattapong Savavibool
Chaveevan Pechsiri


- This research aims to determine the multiple tourism themes based on attractiveness events expressed by the action verbs from the tourism web documents of the selected region. These several themes can be used for recommending tourists with alternative tourism theme choices. The problems of tourism themes’ acquisition from the web blog texts are to determine the touristic themes and to identify a touristic event base on a simple sentence or EDU Elementary Discourse Unit). This research proposes using the k-means clustering technique based on events expressed by verb phrases to determine the multiple tourism themes for a group of provinces within a region. Each cluster represents its own events while some of these events can be determined as the tourism themes by using verb-noun co-occurrences with the tourism event concepts. The result of the event-based tourism theme determination is evaluated by comparing to the answer set of the tourism highlight of each province provided by Tourism Authority of Thailand (http://thai.tourismthailand.org/), and our proposed methodology shows successfully results


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How to Cite
N. Savavibool and C. Pechsiri, “Event Based Multiple Tourism Themes’ Determination From Texts For Alternative Tourism Recommendations”, JIST, vol. 3, no. 1, pp. 1-7, Jun. 2012.
Research Article: Soft Computing (Detail in Scope of Journal)


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