The focus of this book has been primarily to get you up to speed on essential techniques in natural language processing, so covering detailed applications leveraging deep learning for NLP is out of the current scope. However, we have still tried to depict some interesting applications of NLP throughout the book, including Chapter 4, where we covered interesting methods around word embeddings using deep learning methods like Word2Vec, GloVe, and FastText and Chapter 5, where we built text classification models using deep learning. The intent of this chapter is ...
10. The Promise of Deep Learning
Get Text Analytics with Python: A Practitioner's Guide to Natural Language Processing now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.