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Social networks have become very popular in recent years because of the increasing proliferation and affordability of internet-enabled devices such as personal computers, mobile devices, and other more recent hardware innovations such as internet tablets. This is evidenced by the burgeoning popularity of many online social networks such as Twitter, Facebook, and LinkedIn. Such social networks have led to a tremendous explosion of network-centric data in a wide variety of scenarios. There are many apps that are being used by everyone regularly. The most common app market is the google play store. In order to use the best app, the user goes through the reviews of the app. Consumer reviews are now part of everyday decision-making. Yet, the credibility of these reviews is fundamentally undermined when businesses generate fraudulent reviews for themselves or for their competitors. In this book, we used the deep walk approach to characterize each reviewer’s behavior and subsequently we applied supervised machine-learning algorithms to identify the accurate characterization of all reviewers.
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Über die Autorin bzw. den Autor
Dr. Sandeep Chaurasia is working as a Professor in the Department of CSE, School of Computing & I.T. at Manipal University Jaipur.
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Social Media Data Analysis
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Social networks have become very popular in recent years because of the increasing proliferation and affordability of internet-enabled devices such as personal computers, mobile devices, and other more recent hardware innovations such as internet tablets. This is evidenced by the burgeoning popularity of many online social networks such as Twitter, Facebook, and LinkedIn. Such social networks have led to a tremendous explosion of network-centric data in a wide variety of scenarios. There are many apps that are being used by everyone regularly. The most common app market is the google play store. In order to use the best app, the user goes through the reviews of the app. Consumer reviews are now part of everyday decision-making. Yet, the credibility of these reviews is fundamentally undermined when businesses generate fraudulent reviews for themselves or for their competitors. In this book, we used the deep walk approach to characterize each reviewer's behavior and subsequently we applied supervised machine-learning algorithms to identify the accurate characterization of all reviewers. 108 pp. Englisch. Bestandsnummer des Verkäufers 9786203583052
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chaurasia SandeepDr. Sandeep Chaurasia is working as a Professor in the Department of CSE, School of Computing & I.T. at Manipal University Jaipur.Social networks have become very popular in recent years because of the increasing. Bestandsnummer des Verkäufers 468666765
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Social Media Data Analysis : Deep Walk Based
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Social networks have become very popular in recent years because of the increasing proliferation and affordability of internet-enabled devices such as personal computers, mobile devices, and other more recent hardware innovations such as internet tablets. This is evidenced by the burgeoning popularity of many online social networks such as Twitter, Facebook, and LinkedIn. Such social networks have led to a tremendous explosion of network-centric data in a wide variety of scenarios. There are many apps that are being used by everyone regularly. The most common app market is the google play store. In order to use the best app, the user goes through the reviews of the app. Consumer reviews are now part of everyday decision-making. Yet, the credibility of these reviews is fundamentally undermined when businesses generate fraudulent reviews for themselves or for their competitors. In this book, we used the deep walk approach to characterize each reviewer's behavior and subsequently we applied supervised machine-learning algorithms to identify the accurate characterization of all reviewers. Bestandsnummer des Verkäufers 9786203583052
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Social Media Data Analysis
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Social networks have become very popular in recent years because of the increasing proliferation and affordability of internet-enabled devices such as personal computers, mobile devices, and other more recent hardware innovations such as internet tablets. This is evidenced by the burgeoning popularity of many online social networks such as Twitter, Facebook, and LinkedIn. Such social networks have led to a tremendous explosion of network-centric data in a wide variety of scenarios. There are many apps that are being used by everyone regularly. The most common app market is the google play store. In order to use the best app, the user goes through the reviews of the app. Consumer reviews are now part of everyday decision-making. Yet, the credibility of these reviews is fundamentally undermined when businesses generate fraudulent reviews for themselves or for their competitors. In this book, we used the deep walk approach to characterize each reviewer's behavior and subsequently we applied supervised machine-learning algorithms to identify the accurate characterization of all reviewers.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 108 pp. Englisch. Bestandsnummer des Verkäufers 9786203583052
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Social Media Data Analysis | Deep Walk Based
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Taschenbuch. Zustand: Neu. Social Media Data Analysis | Deep Walk Based | Sandeep Chaurasia (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203583052 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 119945810
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