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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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Summary

We now have a way to generate questions and answers. What were you going to ask the user? Can you match our answers against the user's answers?

Sure, an exact match is perfect. But we should also be looking for meaning matches, for example, cake with pastry, or honesty with truthfulness.

We could use a synonym dictionary – but how do we extend this into sentences and documents?

In the next chapter, we will answer all of these questions using text representations.

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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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