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Learning Social Media Analytics with R
最新章節：
Index
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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