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The Deep Learning Workshop
book

The Deep Learning Workshop

by Mirza Rahim Baig, Thomas V. Joseph, Nipun Sadvilkar, Mohan Kumar Silaparasetty, Anthony So
July 2020
Intermediate to advanced content levelIntermediate to advanced
474 pages
8h 51m
English
Packt Publishing
Content preview from The Deep Learning Workshop

4. Deep Learning for Text – Embeddings

Overview

In this chapter, we will begin our foray into Natural Language Processing for text. We will start by using the Natural Language Toolkit to perform text preprocessing on raw text data, where we will tokenize the raw text and remove punctuations and stop words. As we progress through this chapter, we will implement classical approaches to text representation, such as one-hot encoding and the TF-lDF approach. This chapter demonstrates the power of word embeddings and explains the popular deep learning-based approaches for embeddings. We will use the Skip-gram and Continuous Bag of Words algorithms to generate our own word embeddings. We will explore the properties of the embeddings, the different ...

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Publisher Resources

ISBN: 9781839219856Supplemental Content