SubmissionNumber#=%=#56
FinalPaperTitle#=%=#Hidetsune at SemEval-2024 Task 3: A Simple Textual Approach to Emotion Classification and Emotion Cause Analysis in Conversations Using Machine Learning and Next Sentence Prediction
ShortPaperTitle#=%=#
NumberOfPages#=%=#4
CopyrightSigned#=%=#Hidetsune Takahashi
JobTitle#==#
Organization#==#
Abstract#==#In this system paper for SemEval-2024 Task
3 subtask 2, I present my simple textual approach to emotion classification and emotion
cause analysis in conversations using machine
learning and next sentence prediction. I train a
SpaCy model for emotion classification and use
next sentence prediction with BERT for emotion cause analysis. While speaker names and
audio-visual clips are given in addition to text
of the conversations, my approach uses textual
data only to test my methodology to combine
machine learning with next sentence prediction.
This paper reveals both strengths and weaknesses of my trial, suggesting a direction of
future studies to improve my introductory solution.
Author{1}{Firstname}#=%=#Hidetsune
Author{1}{Lastname}#=%=#Takahashi
Author{1}{Username}#=%=#hidetsune
Author{1}{Email}#=%=#takahashi78h@toki.waseda.jp
Author{1}{Affiliation}#=%=#Waseda University

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