Social Media Analytics | By Matthew Ganis & Avinash Kohirkar | 1st Edition | Pearson Publication ( English Medium )

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Social Media Analytics | By Matthew Ganis & Avinash Kohirkar | 1st Edition | Pearson Publication ( English Medium ).

Book Description:

"Social Media Analytics" by Matthew Ganis and Avinash Kohirkar is a practical and insightful textbook that focuses on extracting meaningful information from social media platforms using analytical methods. The book offers a business-oriented and technical guide for understanding how social media data can be mined, analyzed, and leveraged for strategy, brand reputation, public sentiment, and market intelligence.

Aimed at students, data analysts, marketers, and IT professionals, it walks through the full life cycle of social media analytics—from data acquisition to processing, modeling, and visualizing insights—with real-world case studies and hands-on techniques.

Key Features:

✅ Clear introduction to social media metrics, KPIs, and analytical tools.

✅ Covers data collection, preprocessing, and mining from Twitter, Facebook, blogs, and forums.

✅ Demonstrates use of sentiment analysis, natural language processing (NLP), and network analysis.

✅ Emphasizes practical tools like IBM Watson, R, Python, and open-source platforms.

✅ Real-time use cases for marketing, customer service, politics, and brand monitoring.

✅ Guides on ethical concerns, privacy, and data governance in analytics.

✅ Great companion for MBA, B.Tech (IT/CS), and business analytics courses.

✅ Includes sample code, visual dashboards, and data pipelines.

Search Key - Social Media Analytics Matthew Ganis summary, , Social media mining techniques, , Sentiment analysis from Twitter data, , Social listening vs social monitoring, , Social media KPIs and metrics, , Text mining from Facebook and blogs, , Network analysis in social media, , Influencer detection algorithms, , Real-time social media dashboards, , Tools for social media data mining, , NLP in social media analytics, , Case studies in brand analytics, , Python for social media scraping, , Ethics in social media analytics, , Social media data preprocessing steps, , Analyzing customer sentiment online, , Share of voice and brand tracking, , Social media crisis management, , Big data and social media integration, , Predictive analytics with social media, , Social media analysis for marketing, , Social network graphs using NodeXL, , Twitter API data analysis, , Using IBM Watson for text analysis, , Campaign monitoring on social platforms, , Social media engagement measurement, , ROI measurement in social media, , Data visualization for social analytics, , Online reputation management tools, , Social media analytics in business strategy, Publisher ‏ : ‎ Pearson Education India; First Edition (29 September 2016), Language ‏ : ‎ English, Paperback ‏ : ‎ 304 pages, ISBN-10 ‏ : ‎ 933257846X, ISBN-13 ‏ : ‎ 978-9332578463.

Product Details

SKU / BOOK Code:	Pearson-Social-Media-Ana-(E)
Publisher:	Pearson Publication
Author:	Matthew Ganis & Avinash Kohirkar
Binding Type:	Paperback
No. of Pages:	304
ISBN-10:	933257846X
ISBN-13:	978-9332578463
Edition:	1st Edition
Language:	English Medium
Publish Year:	2025-06
Weight (g):	1500
Product Condition:	New
Reading Age:	Above 10 Years
Country of Origin:	India
Genre:	Textbooks & Study Guides
Manufacturer:	Pearson Publication
Importer:	Pearson Publication
Packer:	Fullfilled by Supplier

Product Description

Social Media Analytics | By Matthew Ganis & Avinash Kohirkar | 1st Edition | Pearson Publication ( English Medium ).

Book Description:

"Social Media Analytics" by Matthew Ganis and Avinash Kohirkar is a practical and insightful textbook that focuses on extracting meaningful information from social media platforms using analytical methods. The book offers a business-oriented and technical guide for understanding how social media data can be mined, analyzed, and leveraged for strategy, brand reputation, public sentiment, and market intelligence.

Aimed at students, data analysts, marketers, and IT professionals, it walks through the full life cycle of social media analytics—from data acquisition to processing, modeling, and visualizing insights—with real-world case studies and hands-on techniques.

Key Features:

✅ Clear introduction to social media metrics, KPIs, and analytical tools.

✅ Covers data collection, preprocessing, and mining from Twitter, Facebook, blogs, and forums.

✅ Demonstrates use of sentiment analysis, natural language processing (NLP), and network analysis.

✅ Emphasizes practical tools like IBM Watson, R, Python, and open-source platforms.

✅ Real-time use cases for marketing, customer service, politics, and brand monitoring.

✅ Guides on ethical concerns, privacy, and data governance in analytics.

✅ Great companion for MBA, B.Tech (IT/CS), and business analytics courses.

✅ Includes sample code, visual dashboards, and data pipelines.

Search Key - Social Media Analytics Matthew Ganis summary, , Social media mining techniques, , Sentiment analysis from Twitter data, , Social listening vs social monitoring, , Social media KPIs and metrics, , Text mining from Facebook and blogs, , Network analysis in social media, , Influencer detection algorithms, , Real-time social media dashboards, , Tools for social media data mining, , NLP in social media analytics, , Case studies in brand analytics, , Python for social media scraping, , Ethics in social media analytics, , Social media data preprocessing steps, , Analyzing customer sentiment online, , Share of voice and brand tracking, , Social media crisis management, , Big data and social media integration, , Predictive analytics with social media, , Social media analysis for marketing, , Social network graphs using NodeXL, , Twitter API data analysis, , Using IBM Watson for text analysis, , Campaign monitoring on social platforms, , Social media engagement measurement, , ROI measurement in social media, , Data visualization for social analytics, , Online reputation management tools, , Social media analytics in business strategy, Publisher ‏ : ‎ Pearson Education India; First Edition (29 September 2016), Language ‏ : ‎ English, Paperback ‏ : ‎ 304 pages, ISBN-10 ‏ : ‎ 933257846X, ISBN-13 ‏ : ‎ 978-9332578463.

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