000			02109nam a22002417a 4500
005			20250714184002.0
008			240305b ||||| |||| 00| 0 eng d
020			_a9781118824856
040			_cAL
041			_aEnglish
082			_a070.4 _bSZAS
100			_aGabor Szabo _9152836
245			_aSocial media data mining and analytics
260			_aNew Jersey _bJohn Wiley & Sons _c2019
300			_axxxv,316p. _bPB _c23x18.5cm
365			_2General _a7739 _b₹2916.14 _c₹ _d₹3888.00 _e25% _f15-02-2024
520			_aHarness the power of social media to predict customer behavior and improve sales Social 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 hands-on examples for applying state-of-the-art 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 services-users, social networks, actions, and content The full data discovery lifecycle-data 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 learning Using the techniques the authors detail will provide organizations the competitive advantage they need to harness the rich data available from social media platforms.
650			_2Social Media _aJournalism _9152837
700			_aPolatkan, Gungor;et _9152838
700			_aBoykin, Oscar _9218704
700			_aChalkiopoulos, Antonios _9218705
942			_2ddc _cBK
999			_c230027 _d230027