Social media data mining and analytics:
Harness 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...
Gespeichert in:
| Beteiligte Personen: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Indianapolis, IN
John Wiley & Sons
[2019]
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781118824856/?ar |
| Zusammenfassung: | Harness 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, Live Journal, 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. Harness the power of social media to predict customer behavior and improve sales. Social media is the biggest source of Big Data. This book shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses. |
| Beschreibung: | Includes index. - Online resource; title from digital title page (viewed on October 08, 2018) |
| Umfang: | 1 Online-Ressource (xxxv, 316 Seiten) illustrations (some color) |
| ISBN: | 9781118824900 1118824903 9781118824894 111882489X 9781119183518 1119183510 9781118824856 |
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| 650 | 0 | |a Data mining |x Social aspects | |
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| 650 | 0 | |a Consumer behavior |x Forecasting | |
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| 650 | 4 | |a Exploration de données (Informatique) ; Aspect social | |
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| 650 | 4 | |a Consommateurs ; Comportement ; Prévision | |
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| 650 | 4 | |a Exploration de données (Informatique) | |
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| author | Szabó, Gábor Polatkan, Gungor Boykin, Oscar Chalkiopoulos, Antonios |
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| id | ZDB-30-ORH-048601705 |
| illustrated | Illustrated |
| indexdate | 2025-04-10T09:35:24Z |
| institution | BVB |
| isbn | 9781118824900 1118824903 9781118824894 111882489X 9781119183518 1119183510 9781118824856 |
| language | English |
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| physical | 1 Online-Ressource (xxxv, 316 Seiten) illustrations (some color) |
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| publishDate | 2019 |
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| publisher | John Wiley & Sons |
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| spelling | Szabó, Gábor VerfasserIn aut Social media data mining and analytics Gabor Szabo, Gungor Polatkan, Oscar Boykin, Antonios Chalkiopoulos Indianapolis, IN John Wiley & Sons [2019] 1 Online-Ressource (xxxv, 316 Seiten) illustrations (some color) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Online resource; title from digital title page (viewed on October 08, 2018) Harness 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, Live Journal, 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. Harness the power of social media to predict customer behavior and improve sales. Social media is the biggest source of Big Data. This book shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses. Data mining Social aspects Consumer profiling Data processing Consumer behavior Forecasting Business planning Data processing Social media Data processing Data mining Data Mining Exploration de données (Informatique) ; Aspect social Profil des consommateurs ; Informatique Consommateurs ; Comportement ; Prévision Médias sociaux ; Informatique Exploration de données (Informatique) BUSINESS & ECONOMICS ; Industrial Management BUSINESS & ECONOMICS ; Management BUSINESS & ECONOMICS ; Management Science BUSINESS & ECONOMICS ; Organizational Behavior Data mining ; Social aspects Business planning ; Data processing Consumer behavior ; Forecasting Polatkan, Gungor VerfasserIn aut Boykin, Oscar VerfasserIn aut Chalkiopoulos, Antonios VerfasserIn aut |
| spellingShingle | Szabó, Gábor Polatkan, Gungor Boykin, Oscar Chalkiopoulos, Antonios Social media data mining and analytics Data mining Social aspects Consumer profiling Data processing Consumer behavior Forecasting Business planning Data processing Social media Data processing Data mining Data Mining Exploration de données (Informatique) ; Aspect social Profil des consommateurs ; Informatique Consommateurs ; Comportement ; Prévision Médias sociaux ; Informatique Exploration de données (Informatique) BUSINESS & ECONOMICS ; Industrial Management BUSINESS & ECONOMICS ; Management BUSINESS & ECONOMICS ; Management Science BUSINESS & ECONOMICS ; Organizational Behavior Data mining ; Social aspects Business planning ; Data processing Consumer behavior ; Forecasting |
| title | Social media data mining and analytics |
| title_auth | Social media data mining and analytics |
| title_exact_search | Social media data mining and analytics |
| title_full | Social media data mining and analytics Gabor Szabo, Gungor Polatkan, Oscar Boykin, Antonios Chalkiopoulos |
| title_fullStr | Social media data mining and analytics Gabor Szabo, Gungor Polatkan, Oscar Boykin, Antonios Chalkiopoulos |
| title_full_unstemmed | Social media data mining and analytics Gabor Szabo, Gungor Polatkan, Oscar Boykin, Antonios Chalkiopoulos |
| title_short | Social media data mining and analytics |
| title_sort | social media data mining and analytics |
| topic | Data mining Social aspects Consumer profiling Data processing Consumer behavior Forecasting Business planning Data processing Social media Data processing Data mining Data Mining Exploration de données (Informatique) ; Aspect social Profil des consommateurs ; Informatique Consommateurs ; Comportement ; Prévision Médias sociaux ; Informatique Exploration de données (Informatique) BUSINESS & ECONOMICS ; Industrial Management BUSINESS & ECONOMICS ; Management BUSINESS & ECONOMICS ; Management Science BUSINESS & ECONOMICS ; Organizational Behavior Data mining ; Social aspects Business planning ; Data processing Consumer behavior ; Forecasting |
| topic_facet | Data mining Social aspects Consumer profiling Data processing Consumer behavior Forecasting Business planning Data processing Social media Data processing Data mining Data Mining Exploration de données (Informatique) ; Aspect social Profil des consommateurs ; Informatique Consommateurs ; Comportement ; Prévision Médias sociaux ; Informatique Exploration de données (Informatique) BUSINESS & ECONOMICS ; Industrial Management BUSINESS & ECONOMICS ; Management BUSINESS & ECONOMICS ; Management Science BUSINESS & ECONOMICS ; Organizational Behavior Data mining ; Social aspects Business planning ; Data processing Consumer behavior ; Forecasting |
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