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OffensEval at SemEval-2018 Task 6: Identifying and Categorizing Offensive Language in Social Media

2019-03-14
Silvia Sapora, Bogdan Lazarescu, Christo Lolov

Abstract

This document describes our approach to building an Offensive Language Classifier. More specifically, the coursework required us to build three classifiers with slightly different goals:

  • Offensive language identification: would classify a tweet as offensive or not.
  • Automatic categorization of offense types: would recognize if the target of the offense was an individual or not.
  • Offense target identification: would identify the target of the offense between an individual, group or other. In this report, we will discuss the different architectures, algorithms and pre-processing strategies we tried, together with a detailed description of the designs of our final classifiers and the reasons we choose them over others.
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URL

http://arxiv.org/abs/1903.05929

PDF

http://arxiv.org/pdf/1903.05929


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