Seven layers of social media analytics : mining business insights from social media text, action, networks, hyperlinks, apps, search engine and location data /
By: Khan, Gohar F
Publisher: Great Britain : Amazon, 2015.Description: 189 p. : ill. ; 25 cm.ISBN: 9781507823200Other title: 7 layers of social media analytics.Subject(s): Social Media | Search Engine | Network AnalyticsDDC classification: 006.312 KH SE Online resources: Location Map| Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
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| REGULAR | University of Wollongong in Dubai Main Collection | 006.312 KH SE (Browse shelf) | Available | T0055812 |
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| 006.312 IN TE Integrations of data warehousing, data mining and database technologies : | 006.312 JE DA Data science for business : | 006.312 JO TE Text mining : | 006.312 KH SE Seven layers of social media analytics : | 006.312 LE AD Leading issues in social media research : | 006.312 LE DA Data mining and business analytics with R | 006.312 LE FU Fundamentals of big data : |
Chapter 1: The Seven Layers of Social Media Analytics
Chapter 2: Understanding Social Media
Chapter 3: Social Media Text Analytics
Chapter 4: Social Media Network Analytics
Chapter 5: Social Media Actions Analytics
Chapter 6: Social Media Apps Analytics
Chapter 7: Social Media Hyperlinks Analytics
Chapter 8: Social Media Location Analytics
Chapter 9: Social Media Search Engine Analytics
Chapter 10: Aligning Social Media Analytics with Business Goals.
The book offers concepts, tools, tutorials, and case studies that business managers need to extract and analyze the seven layers of social media data, including text, actions, networks, apps, hyperlinks, search engines, and location layers. Social media analytics is about converting unstructured social media data into meaningful business insights. By the end of this book, you will have mastered the concepts, techniques, and tools used to extract business insights from social media that help increase brand loyalty, generate leads, drive traffic, and ultimately make good business decisions. The book is non-technical in nature best suited for business managers, owners, consultants, students, and professors, etc.