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Social Media Analytics

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Efnisyfirlit

  • About This E-Book
  • Title Page
  • Copyright Page
  • Dedication Page
  • Contents
  • Foreword
  • Preface: Mining for Gold (or Digging in the Mud)
    • Just What Do We Mean When We Say Social Media?
    • Why Look at This Data?
    • How Does This Translate into Business Value?
    • The Book’s Approach
      • Data Identification
      • Data Analysis
      • Information Interpretation
    • Why You Should Read This Book
    • What This Book Does and Does Not Focus On
    • Endnotes
  • Acknowledgments
    • Matt Ganis
    • Avinash Kohirkar
    • Joint Acknowledgments
  • About the Authors
  • Part I: Data Identification
    • 1. Looking for Data in all the Right Places
      • What Data Do We Mean?
      • What Subset of Content Are We Interested In?
      • Whose Comments Are We Interested In?
      • What Window of Time Are We Interested In?
      • Attributes of Data That Need to Be Considered
        • Structure
        • Language
        • Region
        • Type of Content
        • Venue
        • Time
        • Ownership of Data
      • Summary
      • Endnotes
    • 2. Separating the Wheat from the Chaff
      • It All Starts with Data
      • Casting a Net
      • Regular Expressions
      • A Few Words of Caution
      • It’s Not What You Say but WHERE You Say It
      • Summary
      • Endnotes
    • 3. Whose Comments Are We Interested In?
      • Looking for the Right Subset of People
        • Employment
        • Sentiment
        • Location or Geography
        • Language
        • Age
        • Gender
        • Profession/Expertise
        • Eminence or Popularity
        • Role
        • Specific People or Groups
        • Do We Really Want ALL the Comments?
      • Are They Happy or Unhappy?
      • Location and Language
      • Age and Gender
      • Eminence, Prestige, or Popularity
      • Summary
      • Endnotes
    • 4. Timing Is Everything
      • Predictive Versus Descriptive
        • Predictive Analytics
        • Descriptive Analytics
      • Sentiment
      • Time as Your Friend
      • Summary
      • Endnotes
    • 5. Social Data: Where and Why
      • Structured Data Versus Unstructured Data
      • Big Data
        • Social Media as Big Data
        • Where to Look for Big Data
      • Paradox of Choice: Sifting Through Big Data
      • Identifying Data in Social Media Outlets
        • Professional Networking Sites
        • Social Sites
        • Information Sharing Sites
        • Microblogging Sites
        • Blogs/Wikis
      • Summary
      • Endnotes
  • Part II: Data Analysis
    • 6. The Right Tool for the Right Job
      • The Four Dimensions of Analysis Taxonomy
      • Depth of Analysis
      • Machine Capacity
      • Domain of Analysis
        • External Social Media
        • Internal Social Media
      • Velocity of Data
        • Data in Motion
        • Data at Rest
      • Summary
      • Endnotes
    • 7. Reading Tea Leaves: Discovering Themes, Topics, or Trends
      • Validating the Hypothesis
        • Youth Unemployment
        • Cannes Lions 2013
        • 56th Grammy Awards
      • Discovering Themes and Topics
        • Business Value of Projects
        • Analysis of the Information in the Business Value Field
        • Our Findings
      • Using Iterative Methods
      • Summary
      • Endnotes
    • 8. Fishing in a Fast-Flowing River
      • Is There Value in Real Time?
      • Real Time Versus Near Real Time
      • Forewarned Is Forearmed
      • Stream Computing
      • IBM InfoSphere Streams
      • SPL Applications
      • Directed Graphs
      • Streams Example: SSM
        • Step 1
        • Step 2
        • Step 3
        • Step 4
        • Steps 5 and 6
        • Steps 7 and 8
      • Value Derived from a Conference Using Real-Time Analytics
      • Summary
      • Endnotes
    • 9. If You Don’t Know What You Want, You Just May Find It: Ad Hoc Analysis
      • Ad Hoc Analysis
      • An Example of Ad Hoc Analysis
      • Data Integrity
      • Summary
      • Endnotes
    • 10. Rivers Run Deep: Deep Analysis
      • Responding to Leads Identified in Social Media
        • Identifying Leads
        • Qualifying/Classifying Leads
        • Suggested Action
      • Support for Deep Analysis in Analytics Software
        • Topic Evolution
        • Affinity Analysis in Reporting
      • Summary
      • Endnotes
    • 11. The Enterprise Social Network
      • Social Is Much More Than Just Collaboration
        • Transparency of Communication
        • Frictionless Redistribution of Knowledge
        • Deconstructing Knowledge Creation
        • Serendipitous Discovery and Innovation
      • Enterprise Social Network Is the Memory of the Organization
      • Understanding the Enterprise Graph
      • Personal Social Dashboard: Details of Implementation
        • Key Performance Indicators (KPIs)
        • Assessing Business Benefits from Social Graph Data
      • What’s Next for the Enterprise Graph?
      • Summary
      • Endnotes
  • Part III: Information Interpretation
    • 12. Murphy Was Right! The Art of What Could Go Wrong
      • Recap: The Social Analytics Process
      • Finding the Right Data
      • Communicating Clearly
      • Choosing Filter Words Carefully
      • Understanding That Sometimes Less Is More
      • Customizing and Modifying Tools
      • Using the Right Tool for the Right Job
      • Analyzing Consumer Reaction During Hurricane Sandy
      • Summary
      • Endnotes
    • 13. Visualization as an Aid to Analytics
      • Common Visualizations
        • Pie Charts
        • Bar Charts
        • Line Charts
        • Scatter Plots
      • Common Pitfalls
        • Information Overload
        • The Unintended Consequences of Using 3D
        • Using Too Much Color
      • Visually Representing Unstructured Data
      • Summary
      • Endnotes
  • Appendices
    • A. Case Study
      • Introduction to the Case Study: IBMAmplify
      • Data Identification
        • Taking a First Pass at the Analysis
      • Data Analysis
        • A Second Attempt at Analyzing the Data
      • Information Interpretation
      • Conclusions
  • Index
  • Code Snippets

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Vörumerki: Pearson FT Press
Vörunúmer: 9780133892949
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Social Media Analytics

Vörumerki: Pearson FT Press
Vörunúmer: 9780133892949
Rafræn bók. Uppl. sendar á netfangið þitt eftir kaup
2.490 kr.
Get the product now
2.490 kr.