SubmissionNumber#=%=#153
FinalPaperTitle#=%=#Magnum JUCSE at SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes
ShortPaperTitle#=%=#
NumberOfPages#=%=#4
CopyrightSigned#=%=#Adnan Khurshid
JobTitle#==#
Organization#==#Jadavpur University, Kolkata 700032, India.
Abstract#==#This paper focuses on the task of detecting persuasion techniques organised in a hierarchy within meme text in multiple languages like English, North Macedonian, Arabic and Bulgarian, exploring the ways in which textual elements contribute to the dissemination of persuasive messages.
The main strategy of the system is to train a binary classifier for each node in the hierarchy and predict labels in a top down fashion by seeing the confidence value of the prediction at any node. For each unique label in the hierarchy, a dataset is created from the original dataset which is then used to train the binary classifier for that label
Author{1}{Firstname}#=%=#Adnan
Author{1}{Lastname}#=%=#Khurshid
Author{1}{Username}#=%=#adnankhurshid
Author{1}{Email}#=%=#adnankhurshid251@gmail.com
Author{1}{Affiliation}#=%=#Jadavpur University
Author{2}{Firstname}#=%=#Dipankar
Author{2}{Lastname}#=%=#Das
Author{2}{Username}#=%=#dipankar.dipnil2005
Author{2}{Email}#=%=#dipankar.dipnil2005@gmail.com
Author{2}{Affiliation}#=%=#Jadavpur University

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