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Mastering Data Mining with Python - Find patterns hidden in your data

You're reading from  Mastering Data Mining with Python - Find patterns hidden in your data

Product type Book
Published in Aug 2016
Publisher
ISBN-13 9781785889950
Pages 268 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Megan Squire Megan Squire
Profile icon Megan Squire

Tools for text summarization


Since our focus in this book is data mining with Python, we will focus on understanding some of the tools, libraries, and applications designed for text summarization in a Python environment. However, if you ever find yourself in a non-Python environment, or if you have a special case where you want to use an off-the-shelf or non-Python solution, you will be glad to know that there are dozens of other text summarization tools for other programming environments, many of which require no programming at all. In fact, the autotldr bot we discussed at the beginning of this chapter uses a package called SUMMRY, which has an API that is accessible via REST and returns JSON. You can read more about SUMMRY at http://smmry.com/api.

Here we will discuss three Python solutions: a simple NLTK-based method, a Gensim-based method, and a Python summarization package called Sumy.

Naive text summarization using NLTK

So far in this book, we have used NLTK for a variety of tasks including...

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