Towards NLP with Deep Learning: Convolutional Neural Networks and Recurrent Neural Networks for Offensive Language Identification in Social Media

This short paper presents the design decisions taken and challenges encountered in completing SemEval Task 6, which poses the problem of identifying and categorizing offensive language in tweets. Our proposed solutions explore Deep Learning techniques, Linear Support Vector classification and Random...

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Bibliographic Details
Main Authors Puiu, Andrei-Bogdan, Brabete, Andrei-Octavian
Format Journal Article
LanguageEnglish
Published 02.03.2019
Subjects
Computer Science - Computation and Language
Online AccessGet full text
DOI10.48550/arxiv.1903.00665

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Summary:This short paper presents the design decisions taken and challenges encountered in completing SemEval Task 6, which poses the problem of identifying and categorizing offensive language in tweets. Our proposed solutions explore Deep Learning techniques, Linear Support Vector classification and Random Forests to identify offensive tweets, to classify offenses as targeted or untargeted and eventually to identify the target subject type.
DOI:10.48550/arxiv.1903.00665