楼主: igs816
447 40

[其他] Learning Social Media Analytics with R (True PDF) [推广有奖]

学术权威

78%

还不是VIP/贵宾

-

威望
6
论坛币
633815 个
学术水平
1579 点
热心指数
1725 点
信用等级
1178 点
经验
268044 点
帖子
1985
精华
51
在线时间
1563 小时
注册时间
2007-8-6
最后登录
2017-7-27

igs816 在职认证  发表于 2017-7-17 16:41:20 |显示全部楼层
rHcFtOF9juc7K0ItWbIyfUiwkbYnNr8e.jpg

English | 2017 | ISBN: 1787127524 | 394 Pages | True PDF | 12 MB
Tap into the realm of social media and unleash the power of analytics for data-driven insights using R.

It is targeted at IT professionals, Data Scientists, Analysts, Developers, Machine Learning Enthusiasts, social media marketers and anyone with a keen interest in data, analytics, and generating insights from social data. Some background experience in R would be helpful, but not necessary, since this book is written keeping in mind, that readers can have varying levels of expertise.

What You Will Learn:

- Learn how to tap into data from diverse social media platforms using the R ecosystem
- Use social media data to formulate and solve real-world problems
- Analyze user social networks and communities using concepts from graph theory and network analysis
- Learn to detect opinion and sentiment, extract themes, topics, and trends from unstructured noisy text data from diverse social media channels
- Understand the art of representing actionable insights with effective visualizations
- Analyze data from major social media channels such as Twitter, Facebook, Flickr, Foursquare, Github, StackExchange, and so on
- Learn to leverage popular R packages such as ggplot2, topicmodels, caret, e1071, tm, wordcloud, twittR, Rfacebook, dplyr, reshape2, and many more

The Internet has truly become humongous, especially with the rise of various forms of social media in the last decade, which give users a platform to express themselves and also communicate and collaborate with each other. This book will help the reader to understand the current social media landscape and to learn how analytics can be leveraged to derive insights from it. This data can be analyzed to gain valuable insights into the behavior and engagement of users, organizations, businesses, and brands. It will help readers frame business problems and solve them using social data.

The book will also cover several practical real-world use cases on social media using R and its advanced packages to utilize data science methodologies such as sentiment analysis, topic modeling, text summarization, recommendation systems, social network analysis, classification, and clustering. This will enable readers to learn different hands-on approaches to obtain data from diverse social media sources such as Twitter and Facebook. It will also show readers how to establish detailed workflows to process, visualize, and analyze data to transform social data into actionable insights.

游客,如果您要查看本帖隐藏内容请回复


支持楼主:购买VIP购买贵宾 购买后,论坛将奖励 10 元论坛资金给楼主,以表示您对TA发好贴的支持
 
载入中......

本帖被以下文库推荐

stata SPSS
jinyizhe282 发表于 2017-7-17 16:47:15 |显示全部楼层
duoxie                                          
回复

使用道具 举报

auirzxp 发表于 2017-7-17 16:52:26 |显示全部楼层
回复

使用道具 举报

终结天狼 在职认证  发表于 2017-7-17 18:11:48 |显示全部楼层
: Learning Social Media Analytics with R (True PDF) [
回复

使用道具 举报

ermutuxia 发表于 2017-7-17 18:50:39 |显示全部楼层
Wonderful
回复

使用道具 举报

ekscheng 发表于 2017-7-17 18:54:23 |显示全部楼层
回复

使用道具 举报

lianqu 发表于 2017-7-17 19:47:19 |显示全部楼层
回复

使用道具 举报

军旗飞扬 发表于 2017-7-17 19:47:31 |显示全部楼层
谢谢楼主分享!
回复

使用道具 举报

kavakava 发表于 2017-7-17 19:53:13 |显示全部楼层
Thanks
回复

使用道具 举报

sukiyou2000 发表于 2017-7-17 20:13:15 |显示全部楼层
谢谢分享!
回复

使用道具 举报

您需要登录后才可以回帖 登录 | 我要注册

GMT+8, 2017-7-28 02:54