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2020 SemEval SemEval 2020

UTFPR at SemEval 2020 Task 12: Identifying Offensive Tweets with Lightweight Ensembles

Abstract

AbstractOffensive language is a common issue on social media platforms nowadays. In an effort to address this issue, the SemEval 2020 event held the OffensEval 2020 shared task where the participants were challenged to develop systems that identify and classify offensive language in tweets. In this paper, we present a system that uses an Ensemble model stacking a BOW model and a CNN model that led us to place 29th in the ranking for English sub-task A.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Marcos Aurélio Hermogenes Boriola, Gustavo Henrique Paetzold

Topics

Machine Learning > Core Methods > Classification Natural Language Processing > Applications > Text Classification Natural Language Processing > Applications > Sentiment Analysis

Keywords

ensemble learning sentiment analysis text classification offensive language detection bag-of-words model convolutional neural network
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