Word Generalization for Hate Speech Classification
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Words are clustered and cluster id is given to each word.
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Cluster id along with other features are used to do text classification.
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Brown clustering algorithm is an example, this algorithm produces hard clusters which means each word belongs to a specific cluster.
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Neural networks introduced distributed word representations also called word embeddings which serve the purpose of word generalization
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Data Science
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