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R Machine Learning By Example

You're reading from  R Machine Learning By Example

Product type Book
Published in Mar 2016
Publisher
ISBN-13 9781784390846
Pages 340 pages
Edition 1st Edition
Languages
Author (1):
Raghav Bali Raghav Bali

Table of Contents (15) Chapters

R Machine Learning By Example
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Getting Started with R and Machine Learning Let's Help Machines Learn Predicting Customer Shopping Trends with Market Basket Analysis Building a Product Recommendation System Credit Risk Detection and Prediction – Descriptive Analytics Credit Risk Detection and Prediction – Predictive Analytics Social Media Analysis – Analyzing Twitter Data Sentiment Analysis of Twitter Data Index

Twitter data mining


Now that we have tested our tools, libraries, and connections to Twitter APIs, the time has come to begin our search for the hidden treasures in Twitter land. Let's wear our data miner's cap and start digging!

In this section, we will be working on Twitter data gathered from searching keywords (or hashtags in Twitter vocabulary) and user timelines. Using this data, we will be uncovering some interesting insights while using different functions and utilities from TwitteR and other R packages.

Note

Please note that our process will implicitly follow the steps outlined for data mining. In the spirit of brevity, we might take the liberty to not mention each of the steps explicitly. We are mining for some gold-plated insights; rest assured nothing is skipped!

Every year, we begin with a new zeal to achieve great feats and improve upon our shortcomings. Most of us make promises to ourselves in the form of New Year's resolutions. Let us explore what tweeple are doing with their...

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