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Article
Open AccessDo deep learning models accurately measure visual destination image? A comparison of a fine-tuned model to past work
The measurement of destination image from visual media such as online photography is of growing significance to destination managers and marketers who want to make better decisions and attract more visitors to...
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Chapter and Conference Paper
How Distinct and Aligned with UGC is European Capitals’ DMO Branding on Instagram?
Destination positioning refers to destinations identifying their most distinct attributes and focusing on these in their marketing activities in order to distinguish themselves from competitors, develop a bran...
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Chapter and Conference Paper
Unsupervised Topic Modeling with BERTopic for Coarse and Fine-Grained News Classification
Transformer models have achieved state-of-the-art results for news classification tasks, but remain difficult to modify to yield the desired class probabilities in a multi-class setting. Using a neural topic m...
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Article
Special issue on data-driven personalisation of television content
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Article
Open AccessAutomatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications
Sentic computing relies on well-defined affective models of different complexity—polarity to distinguish positive and negative sentiment, for example, or more nuanced models to capture expressions of human emo...
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Chapter and Conference Paper
Towards a Component-Based Framework for Develo** Semantic Web Applications
For those outside the research community, to develop Semantic Web applications entails real difficulty. This difficulty is due in part to the lack of usable approaches for planning Semantic Web solutions, even...
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Chapter
The Semantic Web from an Industry Perspective
Semantic Web technology is being increasingly applied in a large spectrum of applications in which domain knowledge is conceptualized and formalized (e.g., by means of an ontology) in order to support diversif...
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Chapter and Conference Paper
Enabling Real World Semantic Web Applications Through a Coordination Middleware
In a real world scenario Semantic Web applications must be capable to cope with the large scale, distributed, heterogeneous, unreliable and insecure environment of the World Wide Web if they are to truly repre...
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Chapter and Conference Paper
On Identifying Knowledge Processing Requirements
The uptake of Semantic Web technology by industry is progressing slowly. One of the problems is that academia is not always aware of the concrete problems that arise in industry. Conversely, industry is not of...
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Chapter and Conference Paper
Semantic Web applications: Fields and Business cases. The Industry challenges the research.
Semantic web technology is more and more often applied to a large spectrum of applications where domain knowledge is conceptualized and formalized (Ontology) as a support for diversified processing (Reasoning)...
