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Authors: Eric Fernandes de Mello Araújo and Dave Ebbelaar

Affiliation: VU Amsterdam, Netherlands

ISBN: 978-989-758-275-2

Keyword(s): Text Mining, Twitter, Politics, Dutch politics, Machine Learning, Natural Language Processing.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Computational Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Evolutionary Computing ; Knowledge Discovery and Information Retrieval ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Machine Learning ; Natural Language Processing ; Pattern Recognition ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems

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.

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Paper citation in several formats:
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

@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},
}

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

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