Social Media Mining with R
| Author | : | |
| Rating | : | 4.61 (794 Votes) |
| Asin | : | 1783281774 |
| Format Type | : | paperback |
| Number of Pages | : | 103 Pages |
| Publish Date | : | 2014-07-18 |
| Language | : | English |
DESCRIPTION:
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. 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. No previous experience with R or statistics is required, though having knowledge of both will enrich your experience.What You Will LearnLearn the basics of R and all the data typesExplore the vast expanse of social science researchDiscover more about data potential, the pitfalls, and inferential gotchasGain an insight into the concepts of supervised and unsupervised learningFamiliarize yourself with visualization and some cognitive pitfallsDelve into exploratory data analysisUnderstand the minute details of sentiment analysisIn DetailThe growth of social media over the last decade has revolutionized the way individuals interact and industries conduct business. D
Mr. Richard Heimann has followed the big data turn closely and consults with government and industry on its implications. Mr. Heimann has participated in Operation Iraqi Freedom and Operation Enduring Freedom - Afghanistan, most recently in 2012 where he worked directly with the 82nd Airborne Division in Kandahar. Recently, his research has included the analysis of textual and geospatial data and the study of multivariate outlier detection. He has recently supported the Pentag
quick guide for R W Boudville In statistical analysis, R is now the de facto standard, at least at many universities. You can readily find texts explaining how to use R for general purposes. In contrast, the current book focuses on taking R for social media mining. Chapter 2 is a too brief walkthrough of the syntax of R. I recommend if you are indeed new to R to find a lengthier text explaining R itself.Chapter 3 is where the book gets into th. Not current, no updates on Packt website The book is well written but unfortunately it is based on an older version of the twitteR and OAuth packages for R and I was not able to follow the examples without extensive background research into how to authenticate and search for tweets. The Pact website did not have corrections with a solution to this basic problem as of the time of this post. Given that Twitter data is the focus of an example that takes an . A. Zubarev said Get a Social Media Analysis Done. What an engrossing read!I must admit I fret at the beginning, how I can embark on the most advanced and seemingly difficult topics as R, Social Media, together? But somewhere early in chapter "Get a Social Media Analysis Done" according to A. Zubarev. What an engrossing read!I must admit I fret at the beginning, how I can embark on the most advanced and seemingly difficult topics as R, Social Media, together? But somewhere early in chapter 2 I relaxed, thanks to Richard and Nathan who delivered the not so familiar (to me) content gradually and with much aplomb. I liked the R primer in same chapter.Getting Twitter data turned to be a breeze as you will see in ch. I relaxed, thanks to Richard and Nathan who delivered the not so familiar (to me) content gradually and with much aplomb. I liked the R primer in same chapter.Getting Twitter data turned to be a breeze as you will see in ch
Recently, his research has included the analysis of textual and geospatial data and the study of multivariate outlier detection. He is a Data Scientist at L-3 Data Tactics and focuses on advanced analytics, data science, and cloud computing. Heimann has participated in Operation Iraqi Freedom and Operation Enduring Freedom - Afghanistan, most recently in 2012 where he worked directly with the 82nd Airborne Division in Kandahar. Heimann is also adjunct faculty at The University of Maryland, Baltimore County where he stimulates and facilitates similar discussions built upon related principles. He writes frequently on related topics including his recent book, Social Media Mining with R (ISBN : 1783281774). In addition to teaching Human Terrain Analysis (HTA) at George Mason University, Mr. About the AuthorMr. Richard