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Topic Modeling and Word Embeddings

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Applied Natural Language Processing with Python

Abstract

Now that you have had an introduction to working with text data, let’s dive into one of the more advanced feature extraction algorithms. To accomplish some of the more difficult problems, it is reasonable for me to introduce you to other techniques to approach NLP problems. We will move through Word2Vec, Doc2Vec, and GloVe.

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© 2018 Taweh Beysolow II

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Beysolow II, T. (2018). Topic Modeling and Word Embeddings. In: Applied Natural Language Processing with Python . Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3733-5_4

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