Unimodal Training for Multimodal Meme Sentiment Classification: Hyperparameters and Settings

TLDR

This study introduces a novel approach, using unimodal training to enhance multimodal meme sentiment classifiers, significantly improving performance and efficiency in meme sentiment analysis.via the TL;DR App

Authors:

(1) Muzhaffar Hazman, University of Galway, Ireland;

(2) Susan McKeever, Technological University Dublin, Ireland;

(3) Josephine Griffith, University of Galway, Ireland.

Table of Links

Abstract and Introduction

Related Works

Methodology

Results

Limitations and Future Works

Conclusion, Acknowledgments, and References

A Hyperparameters and Settings

B Metric: Weighted F1-Score

C Architectural Details

D Performance Benchmarking

E Contingency Table: Baseline vs. Text-STILT

A Hyperparameters and Settings

This paper is available on arxiv under CC 4.0 license.

Written by memeology | Memes are cultural items transmitted by repetition in a manner analogous to the biological transmission of genes.

Published by HackerNoon on 2024/04/07