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Learning Social Media Analytics with R

Raghav Bali Dipanjan Sarkar Tushar Sharma 著

更新時間：2021-07-09 20:09:33

開會員，本書免費讀 >

ItistargetedatITprofessionals,DataScientists,Analysts,Developers,MachineLearningEnthusiasts,socialmediamarketersandanyonewithakeeninterestindata,analytics,andgeneratinginsightsfromsocialdata.SomebackgroundexperienceinRwouldbehelpful,butnotnecessary,sincethisbookiswrittenkeepinginmind,thatreaderscanhavevaryinglevelsofexpertise.

目錄(76章)

倒序

coverpage
Learning Social Media Analytics with R
Credits
About the Author
About the Reviewer
www.PacktPub.com
eBooks discount offers and more
Customer Feedback
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Downloading the color images of this book
Chapter 1. Getting Started with R and Social Media Analytics
Understanding social media
Social media analytics
Getting started with R
Data types
Data analytics
Machine learning
Text analytics
Summary
Chapter 2. Twitter – What's Happening with 140 Characters
Understanding Twitter
Revisiting analytics workflow
Trend analysis
Sentiment analysis
Follower graph analysis
Summary
Chapter 3. Analyzing Social Networks and Brand Engagements with Facebook
Accessing Facebook data
Analyzing your personal social network
Analyzing an English football social network
Analyzing English Football Club's brand page engagements
Summary
Chapter 4. Foursquare – Are You Checked in Yet?
Foursquare – the app and data
Category trend analysis
Recommendation engine – let's open a restaurant
The sentimental rankings
Venue graph – where do people go next?
Challenges for Foursquare data analysis
Summary
Chapter 5. Analyzing Software Collaboration Trends I – Social Coding with GitHub
Environment setup
Understanding GitHub
Accessing GitHub data
Analyzing repository activity
Analyzing repository trends
Analyzing language trends
Summary
Chapter 6. Analyzing Software Collaboration Trends II - Answering Your Questions with StackExchange
Understanding StackExchange
Data Science and StackExchange
Demographics and data science
Challenges
Summary
Chapter 7. Believe What You See – Flickr Data Analysis
A Flickr-ing world
Accessing Flickr's data
Understanding Flickr data
Understanding interestingness – similarities
Are your photos interesting?
Challenges
Summary
Chapter 8. News – The Collective Social Media!
News data – news is everywhere
Sentiment trend analysis
Topic modeling
Summarizing news articles
Challenges to news data analysis
Summary
Index 更新時間：2021-07-09 20:09:33

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Learning Social Media Analytics with R