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Natural Language Processing with TensorFlow - Second Edition

You're reading from Natural Language Processing with TensorFlow - Second Edition

Product type Book

Published in Jul 2022

Publisher Packt

ISBN-13 9781838641351

Pages 514 pages

Edition 2nd Edition

Languages

Concepts

Mobile Application Development

Author (1):

Thushan Ganegedara

Table of Contents (15) Chapters

Preface

1. Introduction to Natural Language Processing

2. Understanding TensorFlow 2

3. Word2vec – Learning Word Embeddings

4. Advanced Word Vector Algorithms

5. Sentence Classification with Convolutional Neural Networks

6. Recurrent Neural Networks

7. Understanding Long Short-Term Memory Networks

8. Applications of LSTM – Generating Text

9. Sequence-to-Sequence Learning – Neural Machine Translation

10. Transformers

11. Image Captioning with Transformers

12. Other Books You May Enjoy

13. Index

Appendix A: Mathematical Foundations and Advanced TensorFlow

Other applications of Seq2Seq models – chatbots

One other popular application of sequence-to-sequence models is in creating chatbots. A chatbot is a computer program that is able to have a realistic conversation with a human. Such applications are very useful for companies with a huge customer base. Responding to customers asking basic questions for which answers are obvious accounts for a significant portion of customer support requests. A chatbot can serve customers with basic concerns when it is able to find an answer. Also, if the chatbot is unable to answer a question, the request gets redirected to a human operator. Chatbots can save a lot of the time that human operators spend answering basic concerns and let them attend to more difficult tasks.

Training a chatbot

So, how can we use a sequence-to-sequence model to train a chatbot? The answer is quite straightforward as we have already learned about the machine translation model. The only difference would be how...

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Authors (1)

Thushan Ganegedara

Thushan is a seasoned ML practitioner with 4+ years of experience in the industry. Currently he is a senior machine learning engineer at Canva; an Australian startup that founded the online visual design software, Canva, serving millions of customers. His efforts are particularly concentrated in the search and recommendations group working on both visual and textual content. Prior to Canva, Thushan was a senior data scientist at QBE Insurance; an Australian Insurance company. Thushan was developing ML solutions for use-cases related to insurance claims. He also led efforts in developing a Speech2Text pipeline there. He obtained his PhD specializing in machine learning from the University of Sydney in 2018.

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