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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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Toc

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

Problem Definition

Let's say that you work for an e-commerce platform, through which your customers can purchase a variety of products. The merchandising department of your company comes up with a request to add a feature to the website – 'Addition of a slider that contains the 5 items that received the most positive reviews in a given calendar week'.

This request is first made to the web development department since, ultimately, they are the ones responsible for displaying the website contents. The web development department realizes that, to get a review rating, the data science team needs to be involved. The data science team receives the request from the web development team – 'We need a web service that takes a string of text as input and returns a score that indicates the degree to which the text represents a positive sentiment'.

The data science team then refines the requirements and agrees upon the definition of a Minimum Viable Product (MVP)...

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