April 2017
Beginner to intermediate
358 pages
9h 30m
English
We will now create a pipeline that takes a tweet and determines whether it is relevant or not, based only on the content of that tweet.
To perform the word extraction, we will be using the spaCy, a library that contains a large number of tools for performing analysis on natural language. We will use spaCy in future chapters as well.
We are going to create a pipeline to extract the word features and classify the tweets using Naive Bayes. Our pipeline has the following steps:
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