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Michel Oliveira Silva, Tony Meireles Santos, Allan Inoue, Lucas Eduardo Rodrigues Santos, Weydyson de Lima do Nascimento Anastácio, Eduardo Lattari and Bruno Ribeiro Ramalho Oliveira
The inverse relationship between exercise intensity and affective valence is well established for continuous exercise but not for high-intensity interval exercise (HIIE). The objective was to verify the dose?response relationship between exercise intensi...
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Thi-Dung Tran, Junghee Kim, Ngoc-Huynh Ho, Hyung-Jeong Yang, Sudarshan Pant, Soo-Hyung Kim and Guee-Sang Lee
In the field of stress recognition, the majority of research has conducted experiments on datasets collected from controlled environments with limited stressors. As these datasets cannot represent real-world scenarios, stress identification and analysis ...
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Anvarjon Tursunov, Soonil Kwon and Hee-Suk Pang
Emotion recognition from human speech is currently being used in a variety of different domains: in call centers, for analysis of customer?s satisfaction from services, in healthcare, monitoring stress or pain degree of patients in order to detect in an ...
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Nicolás Mechulam, Damián Salvia, Aiala Rosá, Mathias Etcheverry
Pág. 1 - 13
Nowadays, many approaches for Sentiment Analysis (SA) rely on affective lexicons to identify emotions transmitted in opinions. However, most of these lexicons do not consider that a word can express different sentiments in different predication...
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Andrej Ko?ir and Gregor Strle
This paper presents an experimental study on modeling machine emotion elicitation in a socially intelligent service, the typing tutor. The aim of the study is to evaluate the extent to which the machine emotion elicitation can influence the affective sta...
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Arthur M. Jacobs and Annette Kinder
In this paper, we compute the affective-aesthetic potential (AAP) of literary texts by using a simple sentiment analysis tool called SentiArt. In contrast to other established tools, SentiArt is based on publicly available vector space models (VSMs) and ...
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