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SemEval Meme Detection Project

This repository contains the source code and resources for Gaetan Plisson's semester project on meme detection at EURECOM, as part of the SemEval competition. The project focuses on developing algorithms and models capable of accurately identifying and categorizing memes from various online sources.

Project Overview

The goal of this project is to explore and implement effective techniques for meme detection, leveraging machine learning and natural language processing methods. The project aims to contribute to the broader field of multimedia content analysis by addressing the specific challenges associated with meme identification of persuasion technics.

Source Code

The source code for this project is organized as follows:

  • ressources/: Reports, slides and project presentation.
  • src/: The source notebook with all training/ testing processes.

Getting Started

To get started with this project, clone the repository and install the required dependencies. Clone the data : gdown https://drive.google.com/uc?id=1jSAUpFOxZgSlAo8dGfiJMctsJmKjNW5D

Acknowledgments

This project was developed as part of the SemEval competition under the supervision of the faculty at EURECOM.