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Natural Language Processing with Python Quick Start Guide

You're reading from   Natural Language Processing with Python Quick Start Guide Going from a Python developer to an effective Natural Language Processing Engineer

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789130386
Length 182 pages
Edition 1st Edition
Languages
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Author (1):
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Nirant Kasliwal Nirant Kasliwal
Author Profile Icon Nirant Kasliwal
Nirant Kasliwal
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Toc

Why chatbots as a learning example?

So far, we have built an application for every NLP topic that we have seen:

  • Text cleaning using grammar and vocabulary insights
  • Linguistics (and statistical parsers), to mine questions from text
  • Entity recognition for information extraction
  • Supervised text classification using both machine learning and deep learning
  • Text similarity using text-based vectors such as GloVe/word2vec

We will now combine all of them into a much more complicated setup and write our own chatbot from scratch. But, before you build anything from scratch, you should ask why.

Why build a chatbot?

A related questions is why should we build our own chatbots? Why can't I use FB/MSFT/some other cloud service?

Perhaps...

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