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Natural Language Processing with Python Quick Start Guide
book

Natural Language Processing with Python Quick Start Guide

by Nirant Kasliwal
November 2018
Beginner to intermediate
182 pages
4h 48m
English
Packt Publishing
Content preview from Natural Language Processing with Python Quick Start Guide

Summary

In this chapter, you got a feel for the broader things we need to make the project work. We saw the steps that are involved in this process by using a text classification example. We saw how to prepare text for machine learning with scikit-learn. We saw Logistic Regression for ML. We also saw a confusion matrix, which is a quick and powerful tool for making sense of results in all machine learning, beyond NLP.

We are just getting started. From here on out, we will dive deeper into each of these steps and see what other methods exist out there. In the next chapter, we will look at some common methods for text cleaning and extraction. Since this is what we will spend up to 80% of our total time on, it's worth the time and energy learning ...

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Publisher Resources

ISBN: 9781789130386