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- W3146083692 abstract "Emotional intelligence is a transversal axis in the integral development of the person. As a variable, in the interaction environment, research is carried out in various fields of science, reaching great advances with the contribution of artificial intelligence. The EMODIANA has been designed as a subjective emotion research tool, with an extension in the EmoAppPro mobile app. The objective is to design and put into production a machine learning model for classification and prediction from the target of emotions, to a simplification (positive, neutral and negative) in real time. The experimentation is carried out with biology students (n = 30) of the Technical Private University of Loja, during an evaluation process, capturing all the video interaction. A thesaurus of emotions is constructed, from observation of experts, with time windows (t = 20 s), applying Fleap’s Kappa for label validation. The Knowledge Discovery in Databases - KDD methodology is applied in the ML process, obtaining better results with a model based on a decision tree." @default.
- W3146083692 created "2021-04-13" @default.
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- W3146083692 date "2021-01-01" @default.
- W3146083692 modified "2023-09-27" @default.
- W3146083692 title "Machine Learning Model for the Prediction of Emotions in a Mobile Application" @default.
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- W3146083692 doi "https://doi.org/10.1007/978-3-030-71503-8_20" @default.
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