November 2016
Beginner to intermediate
687 pages
15h 31m
English
book
Natural Language Processing: Python and NLTK
by Nitin Hardeniya, Jacob Perkins, Deepti Chopra, Nisheeth Joshi, Iti Mathur
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Summary
To summarize, this chapter was intended to give you a brief introduction to Natural Language Processing. The book does assume some background in NLP and programming in Python, but we have tried to give a very quick head start to Python and NLP. We have installed all the related packages that are require for us to work with NLTK. We wanted to give you, with a few simple lines of code, an idea of how to use NLTK. We were able to deliver an amazing word cloud, which is a great way of visualizing the topics in a large amount of unstructured text, and is quite popular in the industry for text analytics. I think the goal was to set up everything around NLTK, and to get Python working smoothly on your system. You should also be able to write ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.