Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/147358
Título: Harvesting Context and Mining Emotions Related to Olfactory Cultural Heritage
Autor: Graça da Silva, Sara
Palavras-chave: Emotions mining
Context mining
Sensory mining
Artificial Intelligence
Information extraction
Text Classification
Fairy tales
Olfactory cultural heritage
Data: 18-Jul-2022
Resumo: This paper presents an Artificial Intelligence approach to mining context and emotions related to olfactory cultural heritage narratives, particularly to fairy tales. We provide an overview of the role of smell and emotions in literature, as well as highlight the importance of olfactory experience and emotions from psychology and linguistic perspectives. We introduce a methodology for extracting smells and emotions from text, as well as demonstrate the context-based visualizations related to smells and emotions implemented in a novel smell tracker tool. The evaluation is performed using a collection of fairy tales from Grimm and Andersen. We find out that fairy tales often connect smell with the emotional charge of situations. The experimental results show that we can detect smells and emotions in fairy tales with an F1 score of 91.62 and 79.2, respectively.
Descrição: UIDB/00657/2020 UIDP/00657/2020 DL 57/2016/CP1453/CT0028
Peer review: yes
URI: http://hdl.handle.net/10362/147358
DOI: https://doi.org/10.3390/mti6070057
Aparece nas colecções:FCSH: IELT - Artigos em revista internacional com arbitragem científica

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