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Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings
The proposed method is inspired by the way a human proceeds in this situation: It draws on textual similarity between the most relevant words in each document and a dictionary of keywords for each category reflecting its semantics and lexical field.
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