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Mental Disorders on Online Social Media Through the Lens of Language and Behaviour: Analysis and Visualisation ...
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Text mining for online mental health state and personality assessment
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The impact of emotional signals on credibility assessment
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In: J Assoc Inf Sci Technol (2021)
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The Role of Personality and Linguistic Patterns in Discriminating Between Fake News Spreaders and Fact Checkers
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In: Natural Language Processing and Information Systems (2020)
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The Role of Personality and Linguistic Patterns in Discriminating Between Fake News Spreaders and Fact Checkers
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Experimental IR meets multilinguality, multimodality, and interaction: 10th international conference of the CLEF association, CLEF 2019, Lugano, Switzerland, September 9-12, 2019, proceedings
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Opinions in Federated Search: University of Lugano at TREC 2014 Federated Web Search Track
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In: DTIC (2014)
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Concept-based semantic annotation, indexing and retrieval of office-like document units
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Abstract:
We present an ontology-driven approach to semantic annotation, indexing and retrieval of document units. This approach is based on a novel semantic document model (SDM) that we developed to make office-like document units be uniquely identified, semantically annotated with concepts from annotation ontologies and linkable across document boundaries. In the semantic annotation model that we propose, we first lexically expand descriptions of ontological concepts to enhance syntactic matching. Next, we expand a set of syntactic matches with semantically related concepts (i.e., semantic matches) discovered by exploring the annotation ontology. Moreover, we calculate the annotation weight of both the syntactic and semantic matches by taking into account the effects of the lexical expansion and measuring semantic distance between ontological concepts. The retrieval model of document units utilizes the inverted concept index that we generate from the concepts used in the annotation and their weights for document units they annotate. Results of the preliminary evaluation conducted with a prototype implementation are promising. We present the analysis of these results.
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URL: http://doc.rero.ch/record/22114/files/ITR1001.pdf
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A Language Modelling Approach to Linking Criminal Styles with Offender Characteristics
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Evaluation of term-based queries using possibilistic ontologies
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In: Soft Computing for Information Retrieval on the Web ; https://hal.archives-ouvertes.fr/hal-03367400 ; Herrera-Viedma, Enrique; Pasi, Gabriella; Crestani, Fabio. Soft Computing for Information Retrieval on the Web, 197, Springer-Verlag, pp.135-160, 2005, Studies in Fuzziness and Soft Computing book series (STUDFUZZ), ⟨10.1007/3-540-31590-X_8⟩ ; https://link.springer.com/chapter/10.1007/3-540-31590-X_8 (2005)
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Suicide risk assessment on social media: USI-UPF at the CLPsych 2019 shared task
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