SubmissionNumber#=%=#29
FinalPaperTitle#=%=#IUST at ClimateActivism 2024: Towards Optimal Stance Detection: A Systematic Study of Architectural Choices and Data Cleaning Techniques
ShortPaperTitle#=%=#
NumberOfPages#=%=#
CopyrightSigned#=%=#
JobTitle#==#
Organization#==#
Abstract#==#This work presents a systematic search of various model architecture configurations and data cleaning methods. The study evaluates the impact of data cleaning methods on the obtained results. Additionally, we demonstrate that a combination of CNN and Encoder-only models such as BERTweet outperforms FNNs. Moreover, by utilizing data augmentation, we are able to overcome the challenge of data imbalance.
Author{1}{Firstname}#=%=#Ghazaleh
Author{1}{Lastname}#=%=#Mahmoudi
Author{1}{Username}#=%=#ghazale_mahmoodi
Author{1}{Email}#=%=#gh_mahmoodi@comp.iust.ac.ir
Author{1}{Affiliation}#=%=#Iran University of Science and Technology
Author{2}{Firstname}#=%=#Sauleh
Author{2}{Lastname}#=%=#Eetemadi
Author{2}{Username}#=%=#sauleh
Author{2}{Email}#=%=#sauleh@iust.ac.ir
Author{2}{Affiliation}#=%=#Iran University of Science and Technology

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