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<mods:namePart>Puche Regaliza, Julio César</mods:namePart>
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<mods:namePart>Marcilla Lombraña, Isabel</mods:namePart>
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<mods:namePart>Antón Maraña, Paula</mods:namePart>
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<mods:namePart>Arranz Val, Pablo</mods:namePart>
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<mods:identifier type="issn">1098-3058</mods:identifier>
<mods:identifier type="uri">https://hdl.handle.net/10259/11715</mods:identifier>
<mods:identifier type="doi">10.1007/s40558-026-00368-0</mods:identifier>
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<mods:abstract>The widespread use of social media has significantly amplified the role of online&#xd;
reputations in shaping the image and competitiveness of tourism destinations. This&#xd;
study proposes an innovative methodology that combines big data techniques with&#xd;
geolocated user-generated content to develop a comprehensive tourism online reputation&#xd;
index (TORI). The TORI aims to quantify and monitor tourists’ perceptions&#xd;
of destinations in a structured and scalable way. The methodology integrates the&#xd;
cross-industry standard process for data mining (CRISP-DM) and knowledge discovery&#xd;
in databases (KDD) frameworks to ensure a rigorous, systematic approach&#xd;
to data collection, processing, and analysis. An ontology is developed to categorize&#xd;
and structure the diverse attraction points within destinations, and natural language&#xd;
processing (NLP) techniques are employed to perform sentiment analysis and generate&#xd;
tourist profiles on the basis of online reviews. The proposed methodology&#xd;
is validated through a case study in the province of Burgos, Spain, illustrating its&#xd;
practical relevance for enhancing data-driven decision-making in the context of&#xd;
smart tourism destinations (STDs). The results are presented through an interactive&#xd;
scorecard that facilitates intuitive interpretation by tourism stakeholders and&#xd;
supports strategic planning. From a theoretical perspective, this study contributes&#xd;
to the literature by offering a quantitative and standardized approach to measuring&#xd;
online reputation, addressing the lack of integrated tools and human-centered vision&#xd;
in current tourism research. In practice, it provides a replicable and adaptable solution&#xd;
for destination managers, particularly in rural and sparsely populated areas, to&#xd;
improve reputation management, support sustainable development, and strengthen&#xd;
destination competitiveness in the digital era.</mods:abstract>
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<mods:accessCondition type="useAndReproduction">Atribución 4.0 Internacional</mods:accessCondition>
<mods:subject>
<mods:topic>Smart tourism destinations</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Tourism intelligence system</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Inland rural tourism</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Synthetic tourism index</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Tourism decision making</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Sustainable tourism development</mods:topic>
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<mods:titleInfo>
<mods:title>Innovating data-driven tourism reputation management: methodological foundations of the tourism online reputation index (TORI)</mods:title>
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