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Deep Learning for Natural Language Processing

You're reading from   Deep Learning for Natural Language Processing Solve your natural language processing problems with smart deep neural networks

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Product type Paperback
Published in Jun 2019
Publisher
ISBN-13 9781838550295
Length 372 pages
Edition 1st Edition
Languages
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Authors (4):
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Karthiek Reddy Bokka Karthiek Reddy Bokka
Author Profile Icon Karthiek Reddy Bokka
Karthiek Reddy Bokka
Monicah Wambugu Monicah Wambugu
Author Profile Icon Monicah Wambugu
Monicah Wambugu
Tanuj Jain Tanuj Jain
Author Profile Icon Tanuj Jain
Tanuj Jain
Shubhangi Hora Shubhangi Hora
Author Profile Icon Shubhangi Hora
Shubhangi Hora
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Table of Contents (11) Chapters Close

About the Book 1. Introduction to Natural Language Processing FREE CHAPTER 2. Applications of Natural Language Processing 3. Introduction to Neural Networks 4. Foundations of Convolutional Neural Network 5. Recurrent Neural Networks 6. Gated Recurrent Units (GRUs) 7. Long Short-Term Memory (LSTM) 8. State-of-the-Art Natural Language Processing 9. A Practical NLP Project Workflow in an Organization 1. Appendix

Introduction to Natural Language Processing

Learning Objectives

By the end of this chapter, you will be able to:

  • Describe natural language processing and its applications
  • Explain different text preprocessing techniques
  • Perform text preprocessing on text corpora
  • Explain the functioning of Word2Vec and GloVe word embeddings
  • Generate word embeddings using Word2Vec and GloVe
  • Use the NLTK, Gensim, and Glove-Python libraries for text preprocessing and generating word embeddings

This chapter aims to equip you with knowledge of the basics of natural language processing and experience with the various text preprocessing techniques used in Deep Learning.

You have been reading a chapter from
Deep Learning for Natural Language Processing
Published in: Jun 2019
Publisher:
ISBN-13: 9781838550295
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