Classification of review information based on tourist's places of interest in India using support vector machine

G. Bharathi and G. Anandharaj

International Journal of Business Information Systems, 2023, vol. 44, issue 2, 202-218

Abstract: Enormous researches have been accomplished to look at cost-effective and economical tourist's places of interest and sightseeing conditions of a place using free and near-real-time information resources such as social media, WebPages, and Maps. This paper shows all the possible information for the development of a tourist or trip planning system are gathered by using the geographic information mining based on their tourist place preferences and gathered information in the selected region. The dynamic review clusters created using support vector machine classifiers are used to recognise the tourist places of rural and urban areas in India that make sure about the accessibility of basic necessary facilities like clear routes, shutting places, etc. Support vector machine is considered as most efficient algorithm to recognise such kind of clusters. Finally, this paper gives valuable suggestions for tourists or tourism planners by using WebPages or social media data.

Keywords: geographic information mining; support vector machine; SVM; social media; WebPages; OSM; tourism; trip planning. (search for similar items in EconPapers)
Date: 2023
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