A comprehensive framework for automated identification of cultural ecosystem services

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F25%3A43927418" target="_blank" >RIV/62156489:43110/25:43927418 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.ecoser.2025.101770" target="_blank" >https://doi.org/10.1016/j.ecoser.2025.101770</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ecoser.2025.101770" target="_blank" >10.1016/j.ecoser.2025.101770</a>

Result language
angličtina
Original language name
A comprehensive framework for automated identification of cultural ecosystem services
Original language description
Cultural ecosystem services (CES) represent intangible values, making them inherently challenging to analyze. In this study, we present a framework that combines web scraping, text mining, and statistical analysis to gain deeper insights into how people perceive valuable ecosystems and the benefits they derive from them. A total of 4,760 public reviews were collected from the Google Maps platform using dynamic web scraping techniques. Machine learning-based topic modelling was then applied to identify key themes related to CES in selected national parks and protected areas across the Czech Republic. Finally, we tested the hypothesis that the relative frequency of specific topics varies significantly between locations. The proposed approach proved effective in the automated evaluation of CES and in highlighting the distinctive features of the studied sites.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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