@article{74047f17bd704525b90d8db5975a8bd9,
title = "Harvesting Context and Mining Emotions Related to Olfactory Cultural Heritage",
abstract = "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.",
keywords = "Artificial Intelligence, context mining, emotions mining, fairy tales, information extraction, olfactory cultural heritage, sensory mining, text classification",
author = "Massri, {M. Besher} and Inna Novalija and Dunja Mladeni{\'c} and Janez Brank and {Gra{\c c}a da Silva}, Sara and Natasza Marrouch and Carla Murteira and Ali H{\"u}rriyetoğlu and Beno {\v S}ircelj",
note = "Funding Information: This work was supported by the Slovenian Research Agency under the project J2-1736 Causalify and the European Union through the Odeuropa EU H2020 project under grant agreement No 101004469 and the VAST EU H2020 project under grant agreement No 101004949. Funding Information: We would like to thank the Odeuropa EU H2020 (grant agreement No 101004469) project partners and the VAST EU H2020 (grant agreement No 101004949) project partners who provided invaluable comments and suggestions with respect to the performed work. The Odeuropa project [] gathers and integrates expertise in sensory mining and olfactory heritage. The project partners are developing novel methods to collect information about smell from (digital) text and image collections. The Odeuropa partners apply state-of-the-art AI techniques to cultural heritage text spanning four centuries of European history to identify and trace how smell was expressed in different languages, with what places it was associated, what kinds of events and practices it characterized, and to what emotions it was linked. The VAST project [] aims to study the transformation of moral values across space and time. An emphasis in the VAST project is placed on the core European values considered fundamental for the formation of sustainable communities that enable citizens to live well together, such as: freedom, democracy, equality, tolerance, dialogue, human dignity, and the rule of law. It aims to examine how the meaning of specific values has been expressed, transformed, and appropriated through time across three pilots focusing on the arts (theatre), folklore (fairy tales), and science and education. Publisher Copyright: {\textcopyright} 2022 by the authors.",
year = "2022",
month = jul,
doi = "10.3390/mti6070057",
language = "English",
volume = "6",
number = "7",
}