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A Comparison of Classical Versus Deep Learning Techniques for Abusive Content Detection on Social Media Sites
[chapter]
2018
Lecture Notes in Computer Science
The automated detection of abusive content on social media websites faces a variety of challenges including imbalanced training sets, the identification of an appropriate feature representation and the selection of optimal classifiers. Classifiers such as support vector machines (SVM), combined with bag of words or ngram feature representation, have traditionally dominated in text classification for decades. With the recent emergence of deep learning and word embeddings, an increasing number of
doi:10.1007/978-3-030-01129-1_8
fatcat:yfxckqwom5f6rnenka5doemnpi