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You're reading from  Natural Language Processing with Python Quick Start Guide

Product typeBook
Published inNov 2018
Reading LevelIntermediate
PublisherPackt
ISBN-139781789130386
Edition1st Edition
Languages
Python
Tools
Scikit-learnSciPy
Concepts
Mobile Application Development
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Author (1)
Nirant Kasliwal
Nirant Kasliwal
author image
Nirant Kasliwal

Nirant Kasliwal maintains an awesome list of NLP natural language processing resources. GitHub's machine learning collection features this as the go-to guide. Nobel Laureate Dr. Paul Romer found his programming notes on Jupyter Notebooks helpful. Nirant won the first ever NLP Google Kaggle Kernel Award. At Soroco, image segmentation and intent categorization are the challenges he works with. His state-of-the-art language modeling results are available as Hindi2vec.
Read more about Nirant Kasliwal

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Linguistics and NLP

This section is dedicated to introducing you to the ideas and tools that have been around during several decades of linguistics. The most traditional way to introduce this is to take an idea, talk about it at length, and then put all of this together.

Here, I am going to do this the other way around. We will solve two problems and, in the process, look at the tools we will be using. Instead of talking to you about a number 8 spanner, I am giving you a car engine and the tools, and I will introduce the tools as I use them.

Most NLP tasks are solved in a sequential pipeline, with the results from one component feeding into the next.

There is a wide variety of data structures that are used to store pipeline results and intermediate steps. Here, for simplicity, I am going to use only the data structures that are already in spaCy and the native Python ones like...

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Natural Language Processing with Python Quick Start Guide
Published in: Nov 2018Publisher: PacktISBN-13: 9781789130386
© 2018 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Nirant Kasliwal

Nirant Kasliwal maintains an awesome list of NLP natural language processing resources. GitHub's machine learning collection features this as the go-to guide. Nobel Laureate Dr. Paul Romer found his programming notes on Jupyter Notebooks helpful. Nirant won the first ever NLP Google Kaggle Kernel Award. At Soroco, image segmentation and intent categorization are the challenges he works with. His state-of-the-art language modeling results are available as Hindi2vec.
Read more about Nirant Kasliwal

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