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