Repository containing detailed experiments related to the paper "Memotion Analysis through the Lens of Joint Embedding".

Overview

Memotion Analysis Through The Lens Of Joint Embedding

This repository contains the experiments conducted as described in the paper 'Memotion Analysis through the Lens Of Joint Embedding'. This paper has been accepted for a poster presentation in the AAAI Student Abstract and Poster Program (SA-22).

Motivation

Visualisation

File Description

  • base_models: contains code used for training the reference models.

  • taskA: contains experiments related to Task A (sentiment analysis).

  • taskB: contains experiments related to Task B (emotion classification).

  • taskC: contains experiments related to Task C (semantic sub-classification of emotion).

For details about individual files, refer to the respective folders.

Reference

If you find this repo useful, please cite our paper:

    @inproceedings{gunti-etal-memotion,
    title = {Memotion Analysis through the Lens of Joint Embedding},
    author = {Nethra Gunti and  Sathyanarayanan Ramamoorthy and Parth Patwa and Amitava Das}
    booktitle =  {Proceedings of the AAAI Conference on Artificial Intelligence},
    year = {2022},
   }

Owner
Nethra Gunti
Django Development | Machine Learning | Data Analysis
Nethra Gunti
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