Natural Language Processing First Steps: How Algorithms Understand Text

#artificialintelligence 

This article will discuss how to prepare text through vectorization, hashing, tokenization, and other techniques, to be compatible with machine learning (ML) and other numerical algorithms. I'll explain and demonstrate the process. Natural Language Processing (NLP) applies Machine Learning (ML) and other techniques to language. However, machine learning and other techniques typically work on the numerical arrays called vectors representing each instance (sometimes called an observation, entity, instance, or row) in the data set. We call the collection of all these arrays a matrix; each row in the matrix represents an instance.

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