July 2017
Intermediate to advanced
254 pages
6h 29m
English
Content preview from Mastering Machine Learning with scikit-learn - Second Edition
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Extracting features from text
Many machine learning problems use text, which usually represents natural language. Text must be transformed to a vector representation that encodes some aspect of its meaning. In the following sections, we will review variations of two of the most common representation of text that are used in machine learning: the bag-of-words model and word embeddings.
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