Twitter Data Analytics (SpringerBriefs in Computer Science) - Tapa blanda

Libro 108 de 322: SpringerBriefs in Computer Science

Kumar, Shamanth

 
9781461493716: Twitter Data Analytics (SpringerBriefs in Computer Science)
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ISBN 10: 1461493714 ISBN 13: 9781461493716
Editorial: Springer, 2013

Sinopsis

This brief provides methods for harnessing Twitter data to discover solutions to complex inquiries. The brief introduces the process of collecting data through Twitter’s APIs and offers strategies for curating large datasets. The text gives examples of Twitter data with real-world examples, the present challenges and complexities of building visual analytic tools, and the best strategies to address these issues. Examples demonstrate how powerful measures can be computed using various Twitter data sources. Due to its openness in sharing data, Twitter is a prime example of social media in which researchers can verify their hypotheses, and practitioners can mine interesting patterns and build their own applications. This brief is designed to provide researchers, practitioners, project managers, as well as graduate students with an entry point to jump start their Twitter endeavors. It also serves as a convenient reference for readers seasoned in Twitter data analysis.

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Reseña del editor

This brief provides methods for harnessing Twitter data to discover solutions to complex inquiries. The brief introduces the process of collecting data through Twitter’s APIs and offers strategies for curating large datasets. The text gives examples of Twitter data with real-world examples, the present challenges and complexities of building visual analytic tools, and the best strategies to address these issues. Examples demonstrate how powerful measures can be computed using various Twitter data sources. Due to its openness in sharing data, Twitter is a prime example of social media in which researchers can verify their hypotheses, and practitioners can mine interesting patterns and build their own applications. This brief is designed to provide researchers, practitioners, project managers, as well as graduate students with an entry point to jump start their Twitter endeavors. It also serves as a convenient reference for readers seasoned in Twitter data analysis.

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Editorial
Springer
Año de publicación
2013
Idioma
Inglés
ISBN 10 
1461493714
ISBN 13 
9781461493716
Encuadernación
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Número de páginas
88
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Alemania

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9781461493730: Twitter Data Analytics

Edición Destacada

ISBN 10:  1461493730 ISBN 13:  9781461493730
Editorial: Springer, 2013
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