eBooks-it.org Logo
eBooks-IT.org Inner Image

Social Media Mining with R

Social Media Mining with R Image

Book Details:

Publisher:Packt Publishing
Series: Packt
Author:Richard Heimann
Edition:1
ISBN-10:1783281774
ISBN-13:9781783281770
Pages:103
Published:Mar 25 2014
Posted:Nov 19 2014
Language:English
Book format:PDF
Book size:1.73 MB

Book Description:

The growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Individuals produce data at an unprecedented rate by interacting, sharing, and consuming content through social media. However, analyzing this ever-growing pile of data is quite tricky and, if done erroneously, could lead to wrong inferences. By using this essential guide, you will gain hands-on experience with generating insights from social media data. This book provides detailed instructions on how to obtain, process, and analyze a variety of socially-generated data while providing a theoretical background to help you accurately interpret your findings. You will be shown R code and examples of data that can be used as a springboard as you get the chance to undertake your own analyses of business, social, or political data. The book begins by introducing you to the topic of social media data, including its sources and properties. It then explains the basics of R programming in a straightforward, unassuming way. Thereafter, you will be made aware of the inferential dangers associated with social media data and how to avoid them, before describing and implementing a suite of social media mining techniques. Social Media Mining in R provides a light theoretical background, comprehensive instruction, and state-of-the-art techniques, and by reading this book, you will be well equipped to embark on your own analyses of social media data. Whether you are an undergraduate who wishes to get hands-on experience working with social data from the Web, a practitioner wishing to expand your competencies and learn unsupervised sentiment analysis, or you are simply interested in social data analysis, this book will prove to be an essential asset. No previous experience with R or statistics is required, though having knowledge of both will enrich your experience.

Download Link:

Related Books:

Social Media Mining

An Introduction
Social Media Mining Image
The growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. Individuals produce data at an unprecedented rate by interacting, sharing, and consuming content through social media. Understanding and processing this new type of data to glean actionable patterns presents challenges and opportunities for interdisciplinary research, novel algorithms, and tool development. Social Media Mining integrates social media, social network analysis, and data mining to provide a convenient and coherent platform for students, practitioners, researchers, and project managers to understand the basics and potentials of social media mining. It introduces the unique problems arising from social media dat...

Learning Data Mining with R

Learning Data Mining with R Image
Develop key skills and techniques with R to create and customize data mining algorithms About This BookDevelop a sound strategy for solving predictive modeling problems using the most popular data mining algorithmsGain understanding of the major methods of predictive modelingPacked with practical advice and tips to help you get to grips with data miningWho This Book Is ForThis book is intended for the budding data scientist or quantitative analyst with only a basic exposure to R and statistics. This book assumes familiarity with only the very basics of R, such as the main data types, simple functions, and how to move data around. No prior experience with data mining packages is necessary; however, you should have a basic understanding of data mining ...

Mastering Text Mining with R

Mastering Text Mining with R Image
Master text-taming techniques and build effective text-processing applications with R About This Book * Develop all the relevant skills for building text-mining apps with R with this easy-to-follow guide * Gain in-depth understanding of the text mining process with lucid implementation in the R language * Example-rich guide that lets you gain high-quality information from text data Who This Book Is For If you are an R programmer, analyst, or data scientist who wants to gain experience in performing text data mining and analytics with R, then this book is for you. Exposure to working with statistical methods and language processing would be helpful. What You Will Learn * Get acquainted with some of the highly efficient R packages such as OpenNLP ...



2007 - 2021 © eBooks-IT.org