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Social Media Data Mining And Analytics
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Harness The Power Of Social Media To Predict Customer Behavior And Improve Salessocial Media Is The Biggest Source Of Big Data. Because Of This, 90% Of Fortune 500 Companies Are Investing In Big Data Initiatives That Will Help Them Predict Consumer Behavior To Produce Better Sales Results. Social Media Data Mining And Analytics Shows Analysts How To Use Sophisticated Techniques To Mine Social Media Data, Obtaining The Information They Need To Generate Amazing Results For Their Businesses.Social Media Data Mining And Analytics Isn'T Just Another Book On The Business Case For Social Media. Rather, This Book Provides Handson Examples For Applying Stateoftheart Tools And Technologies To Mine Social Media Examples Include Twitter, Wikipedia, Stack Exchange, Livejournal, Movie Reviews, And Other Rich Data Sources. In It, You Will Learn: The Four Key Characteristics Of Online Servicesusers, Social Networks, Actions, And Content The Full Data Discovery Lifecycledata Extraction, Storage, Analysis, And Visualization How To Work With Code And Extract Data To Create Solutions How To Use Big Data To Make Accurate Customer Predictions How To Personalize The Social Media Experience Using Machine Learningusing The Techniques The Authors Detail Will Provide Organizations The Competitive Advantage They Need To Harness The Rich Data Available From Social Media Platforms.
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This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the page count of 'Social Media Data Mining and Analytics'? A: This book has three hundred fifty-two pages. It provides a comprehensive guide on leveraging social media data for business insights.
- Q: What are the dimensions of this book? A: The book measures seven point four inches in length, zero point eight inches in width, and nine point one inches in height. These dimensions make it a convenient size for reading.
- Q: What type of binding does this book have? A: The book is available in paperback binding, which is durable and suitable for regular use. This makes it easy to carry and read.
- Q: How can I apply the techniques from this book? A: You can apply the techniques by following hands-on examples outlined in the chapters. It covers data extraction, analysis, and visualization using social media platforms.
- Q: Is this book suitable for beginners in data analytics? A: Yes, this book is suitable for beginners. It offers clear explanations and practical examples that help new analysts understand social media data mining.
- Q: Can I use this book for advanced analytics techniques? A: Yes, the book includes advanced techniques for experienced analysts. It covers sophisticated tools and methodologies for in-depth analysis of social media data.
- Q: How should I store this book to keep it in good condition? A: Store the book in a cool, dry place away from direct sunlight. Keeping it on a bookshelf helps maintain its shape and prevents wear.
- Q: Is there a warranty or return policy for this book? A: Typically, books do not come with a warranty, but a return policy may apply. Check with the retailer for their specific return guidelines.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact the seller immediately to initiate a return or exchange. Most retailers provide support for damaged items.
- Q: Does the book provide examples from specific social media platforms? A: Yes, it includes examples from platforms like Twitter, Wikipedia, and Stack Exchange. These real-world cases enhance understanding of data mining techniques.
- Q: Who is the author of 'Social Media Data Mining and Analytics'? A: The author of the book is Gabor Szabo. He has expertise in data analytics and social media strategies.
- Q: What topics are covered in this book? A: The book covers topics such as data extraction, analysis, customer predictions, and machine learning applications in social media.
- Q: Can this book help improve sales through social media? A: Yes, it provides strategies to predict customer behavior and enhance sales performance using social media insights.
- Q: Is this book appropriate for academic use? A: Yes, it's appropriate for academic use, particularly in courses related to data analytics, business, and marketing.
- Q: What is the main focus of 'Social Media Data Mining and Analytics'? A: The main focus is on harnessing social media data to drive business decisions and improve sales through predictive analytics.