Detecting Dutch Political Tweets: A Classifier based on Voting System using Supervised Learning

Eric Fernandes de Mello Araújo, Dave Ebbelaar

2018

Abstract

The task of classifying political tweets has been shown to be very difficult, with controversial results in many works and with non-replicable methods. Most of the works with this goal use rule-based methods to identify political tweets. We propose here two methods, being one rule-based approach, which has an accuracy of 62%, and a supervised learning approach, which went up to 97% of accuracy in the task of distinguishing political and non-political tweets in a corpus of 2.881 Dutch tweets. Here we show that for a data base of Dutch tweets, we can outperform the rule-based method by combining many different supervised learning methods.

Paper Citation

in Harvard Style

Fernandes de Mello Araújo E. and Ebbelaar D. (2018). Detecting Dutch Political Tweets: A Classifier based on Voting System using Supervised Learning.In Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-275-2, pages 462-469. DOI: 10.5220/0006592004620469

in Bibtex Style

@conference{icaart18,
author={Eric Fernandes de Mello Araújo and Dave Ebbelaar},
title={Detecting Dutch Political Tweets: A Classifier based on Voting System using Supervised Learning},
booktitle={Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2018},
pages={462-469},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006592004620469},
isbn={978-989-758-275-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Detecting Dutch Political Tweets: A Classifier based on Voting System using Supervised Learning
SN - 978-989-758-275-2
AU - Fernandes de Mello Araújo E.
AU - Ebbelaar D.
PY - 2018
SP - 462
EP - 469
DO - 10.5220/0006592004620469