This is the code repository for Hands-On Natural Language Processing with Python, published by Packt.
A practical guide to applying deep learning architectures to your NLP applications
Natural language processing (NLP) has found its applications in various domains like web search, advertisements, customer service and with Deep Learning, we can bring high performance in these application areas. This book teaches you to leverage deep learning models in performing various NLP tasks; it also showcases the best practices in dealing with the NLP challenges.
This book covers the following exciting features:
- Implement semantic embedding of words to classify and find entities
- Convert word to vectors by training to implement arithmetic on words
- Train a deep learning model to detect classification of tweets, news
- Implement a question-answering model with search and RNN models
- Train models for various text classification datasets using CNN
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
if (test expression)
{
Statement upon condition is true
}
Following is what you need for this book: This book is primarily targeted towards data scientists, machine learning engineers, analysts and developers with an interest in data and applying state-of-the-art transfer learning methodologies to solve tough real-world problems. Readers are expected to have basic proficiency in machine learning and Python.
With the following software and hardware list you can run all code files present in the book (Chapter 1-13).
| Chapter | Software required | Hardware required |
|---|---|---|
| 2 | Anaconda(Python3 Version) | Download for any OSWindows |
| 4 | Anaconda(Python3 Version) | Download for any OSWindows |
| 5 | Anaconda(Python3 Version) | Download for any OSWindows |
| 6 | Anaconda(Python3 Version) | Download for any OSWindows |
| 8 | Anaconda(Python3 Version) | Download for any OSWindows |
| 9 | Anaconda(Python3 Version) | Download for any OSWindows |
| 10 | Anaconda(Python3 Version) | Download for any OSWindows |
| 11 | Anaconda(Python3 Version) | Download for any OSWindows |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. [https://www.packtpub.com/sites/default/files/downloads/HandsOnNaturalLanguageProcessingwithPython_ColorImages.pdf].
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Natural Language Processing with TensorFlow [Packt] [Amazon]
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Mastering Natural Language Processing with Python [Packt] [Amazon]
Rajesh Arumugam is an ML developer at SAP, Singapore. Previously, he developed ML solutions for smart city development in areas such as passenger flow analysis in public transit systems and optimization of energy consumption in buildings when working with Centre for Social Innovation at Hitachi Asia, Singapore. He has published papers in conferences and has pending patents in storage and ML. He holds a PhD in computer engineering from Nanyang Technological University, Singapore.
Rajalingappaa Shanmugamani is a deep learning lead at SAP, Singapore. Previously, he worked and consulted at various start-ups for developing computer vision products. He has a masters from IIT Madras, where his thesis was based on applications of computer vision in manufacturing. He has published articles in peer-reviewed journals and conferences and applied for a few patents in ML. In his spare time, he teaches programming and machine learning to school students and engineers.
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