Deep Learning for Natural Language Processing

Chapter 1

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.

Introduction

Welcome to deep learning for Natural Language Processing. This book ...