Results 11 to 20 of about 261,909 (312)
EEG Dataset for Emotion Analysis
DataThis work presents an EEG signal database derived from the induction of three emotional states using auditory stimuli. To this end, an experiment was designed in which 30 selected affective sounds from the IADS database were presented to 36 volunteers ...
Catalina Aguirre-Grisales +4 more
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Analysis of the Emotions’ Brainwaves [PDF]
International Journal of Advanced Computer Science and Applications, 2019 Currently in Peru, patients with degenerative diseases, such as Amyotrophic Lateral Sclerosis (ALS) have lost of communication ability. Many researchers’ papers that establish basic communication system for these patients. It is also essential to know their feelings or state of mind through their emotions, in this study, we present an analysis of ...
Alvarado-Díaz, Witman +2 more
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Merging Datasets for Emotion Analysis
2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW), 2021 Context. Applying sentiment analysis is in general a laborious task. Furthermore, if we add the task of getting a good quality dataset with balanced distribution and enough samples, the job becomes more complicated. Objective. We want to find out whether merging compatible datasets improves emotion analysis based on machine learning (ML) techniques ...
de Arriba Serra, Ariadna +2 more
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across emotion recognition subtypes [PDF]
, 2021 This study investigated the genetic components of ADHD and ASD by examining the cross-disorder trait of emotion recognition problems. The genetic burden for ADHD and ASD on previously identified emotion recognition factors (speed and accuracy of visual ...
Nina Roth Mota +11 more
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Emotional Analysis of Music [PDF]
Proceedings of the 22nd ACM international conference on Multimedia, 2014 Music as a form of art is intentionally composed to be emotionally expressive. The emotional features of music are invaluable for music indexing and recommendation. In this paper we present a cross-comparison of automatic emotional analysis of music. We created a public dataset of Creative Commons licensed songs.
Mohammad Soleymani 0001 +9 more
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East European Journal of Psycholinguistics, 2022 This paper focuses on the content and emotive features of four politicians' posts that were published on their official Twitter accounts during the three-month period of the russian invasion of Ukraine. We selected two British politicians – Boris Johnson,
Olena Karpina, Justin Chen
doaj +1 more source
Emotion Analysis and Emotion-Handling Subdialogues [PDF]
, 2006 The chapter presents the cognitive model-based approach of abductive interpretation of emotions that is used in the multimodal dialogue system SmartKom. The approach is based on Ortony, Clore and Collins’ (OCC) model of emotions, which explains emotions by matches or mismatches of the attitudes of an agent with the state of affairs in the relevant ...
Streit, Michael +2 more
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A multimodal approach to emotion recognition ability in autism spectrum disorders [PDF]
, 2010 Background: Autism spectrum disorders (ASD) are characterised by social and communication difficulties in day‐to‐day life, including problems in recognising emotions.
Tregay, Jeni +66 more
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The structural neuroanatomy of music emotion recognition: evidence from frontotemporal lobar degeneration. [PDF]
, 2011 Despite growing clinical and neurobiological interest in the brain mechanisms that process emotion in music, these mechanisms remain incompletely understood.
Omar, Rohani +45 more
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Emotional Textual Analysis [PDF]
, 2015 Emotional Textual Analysis (ETA) analyzes the symbolic level of texts as a part of applied research and interventions. The method is based on the study of the association of dense words, words that convey most of the emotional components of texts.
Renzo Carli +4 more
openaire +2 more sources