SubmissionNumber#=%=#170
FinalPaperTitle#=%=#INGEOTEC at SemEval-2024 Task 10: Bag of Words Classifiers
ShortPaperTitle#=%=#
NumberOfPages#=%=#6
CopyrightSigned#=%=#Mireya Paredes Lopez
JobTitle#==#
Organization#==#
Abstract#==#The Emotion Recognition in Conversation subtask aims to predict the emotions of the utterance of a conversation. In its most basic form, one can treat each utterance separately without considering that it is part of a conversation. Using this simplification, one can use any text classification algorithm to tackle this problem. This contribution follows this approach by solving the problem with different text classifiers based on Bag of Words. Nonetheless, the best approach takes advantage of the dynamics of the conversation; however, this algorithm is not statistically different than a Bag of Words with a Linear Support Vector Machine.
Author{1}{Firstname}#=%=#Daniela
Author{1}{Lastname}#=%=#Moctezuma
Author{1}{Username}#=%=#dmocteo
Author{1}{Email}#=%=#dmocteo@gmail.com
Author{1}{Affiliation}#=%=#Centrogeo
Author{2}{Firstname}#=%=#Eric Sadit
Author{2}{Lastname}#=%=#Tellez
Author{2}{Username}#=%=#sadit
Author{2}{Email}#=%=#eric.tellez@infotec.mx
Author{2}{Affiliation}#=%=#CONACyT-INFOTEC
Author{3}{Firstname}#=%=#Jose
Author{3}{Lastname}#=%=#Ortiz Bejar
Author{3}{Email}#=%=#jose.ortiz@umich.mx
Author{3}{Affiliation}#=%=#Universidad Michoacana de San Nicolás de Hidalgo
Author{4}{Firstname}#=%=#Mireya
Author{4}{Lastname}#=%=#Paredes
Author{4}{Email}#=%=#mireya.paredes@gmail.com
Author{4}{Affiliation}#=%=#INFOTEC Centro de Investigación e Innovación en Tecnologías de la Información y Comunicación

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