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An interactive visualization of location-based reviews using word cloud and OpenStreetMap for tourism applications

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Abstract

Massive volumes of online reviews have been generated as cities have grown and information has exploded. The majority of previous research on reviews has focused on debate, bias, and sentiment analysis. There is a lack of visual perception of the spatiotemporal pattern distribution in these reviews. This study attempts to bridge this gap and proposes an interactive visualization system combining Word cloud and OpenStreetMap to allow for visual exploration of spatial features, location mining, and decision making based on reviews. In this visualization, the original context of the reviews can be first explored through the designed interactive word cloud. Then, the geographical distribution information of the reviews will be presented and absorbed rapidly on the geographic map. Our system can guide users not only through the spatial features of online reviews but also efficiently retrieve their original review context by providing an interactive visualization and intuitive results. Thus, it is appropriate as an alternative method by transforming complex and abstract information into a simple and easy-to-understand visual language for online reviews understanding.

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Acknowledgements

We are grateful to the three anonymous reviewers and the editor-in-chief for their time, insightful comments, and suggestions that improved the overall quality of our manuscript.

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  1. School of Computer Sciences, Universiti Sains Malaysia, 11800, Penang, Malaysia

    Jieyu An, Wan Mohd Nazmee Wan Zainon & Wan Zainon

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  1. Jieyu An
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  3. Wan Zainon
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Correspondence to Jieyu An.

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An, J., Wan Zainon, W.M.N. & Zainon, W. An interactive visualization of location-based reviews using word cloud and OpenStreetMap for tourism applications. Spat. Inf. Res. 31, 235–243 (2023). https://doi.org/10.1007/s41324-022-00492-z

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  • DOI: https://doi.org/10.1007/s41324-022-00492-z

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