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Learning Data Mining with Python, - Second Edition

You're reading from Learning Data Mining with Python, - Second Edition

Product type Book

Published in Apr 2017

Publisher Packt

ISBN-13 9781787126787

Pages 358 pages

Edition 2nd Edition

Languages

Concepts

Table of Contents (20) Chapters

Title Page

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

Getting Started with Data Mining

Classifying with scikit-learn Estimators

Predicting Sports Winners with Decision Trees

Recommending Movies Using Affinity Analysis

Features and scikit-learn Transformers

Social Media Insight using Naive Bayes

Follow Recommendations Using Graph Mining

Beating CAPTCHAs with Neural Networks

Authorship Attribution

Clustering News Articles

Object Detection in Images using Deep Neural Networks

Working with Big Data

Next Steps...

Extracting text from arbitrary websites

The links that we get from reddit go to arbitrary websites run by many different organizations. To make it harder, those pages were designed to be read by a human, not a computer program. This can cause a problem when trying to get the actual content/story of those results, as modern websites have a lot going on in the background. JavaScript libraries are called, style sheets are applied, advertisements are loaded using AJAX, extra content is added to sidebars, and various other things are done to make the modern web page a complex document. These features make the modern Web what it is, but make it difficult to automatically get good information from!

Finding the stories in arbitrary websites

To start with, we will download the full web page from each of these links and store them in our data folder, under a raw subfolder. We will process these to extract the useful information later on. This caching of results ensures that we don't have to continuously...

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