Classifying Text-Based Conspiracy Tweets related to COVID-19 using Contextualized Word Embeddings
Computation and Language
2023-03-08 v1 Machine Learning
Abstract
The FakeNews task in MediaEval 2022 investigates the challenge of finding accurate and high-performance models for the classification of conspiracy tweets related to COVID-19. In this paper, we used BERT, ELMO, and their combination for feature extraction and RandomForest as classifier. The results show that ELMO performs slightly better than BERT, however their combination at feature level reduces the performance.
Cite
@article{arxiv.2303.03706,
title = {Classifying Text-Based Conspiracy Tweets related to COVID-19 using Contextualized Word Embeddings},
author = {Abdul Rehman and Rabeeh Ayaz Abbasi and Irfan ul Haq Qureshi and Akmal Saeed Khattak},
journal= {arXiv preprint arXiv:2303.03706},
year = {2023}
}
Comments
Published in Multimedia Benchmark Workshop 2022, Bergen, Norway and Online, 12-13 January 2023: https://2022.multimediaeval.com/