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| #1302785 in Books | 2014-03-24 | 2014-03-25 | Original language:English | PDF # 1 | 9.25 x.28 x7.50l,.49 | File type: PDF | 103 pages||8 of 8 people found the following review helpful.| Not current, no updates on Packt website|By K. Farmer|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|About the Author|Mr. Richard Heimann has followed the big data turn closely and consults with government and industry on its implications. | | Mr. Heimann balances theory and practice within all fields of social science, but
Deploy cuttingedge sentiment analysis techniques to realworld social media data using R
About This Book
Learn how to face the challenges of analyzing social media data
Get hands-on experience with the most common, up-to-date sentiment analysis tools and apply them to data collected from social media websites through a series of in-depth case studies, which includes how to mine Twitter data
A focused guide to help you achieve pr...
You easily download any file type for your gadget.Social Media Mining with R | Nathan Danneman, Richard Heimann. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.
