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Evaluating Embeddings for NLP and Document Clustering
Embeddings are an alternative to traditional methods of vectorisation first proposed by Bengio et al in 2003, who developed the first langua...
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Embeddings are an alternative to traditional methods of vectorisation first proposed by Bengio et al in 2003, who developed the first langua...
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Introduction The task under consideration is for classification of airline customer data to predict satisfaction. The data consists of a...
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A spun-out MIT research project called Echo Nest used a proprietary algorithm to describe songs in terms of 'acoustic features' such...