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Twitter Data Analytics: SpringerBriefs in Computer Science

Autor Shamanth Kumar, Fred Morstatter, Huan Liu
en Limba Engleză Paperback – 12 noi 2013
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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Specificații

ISBN-13: 9781461493716
ISBN-10: 1461493714
Pagini: 87
Ilustrații: X, 77 p. 26 illus.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.14 kg
Ediția:2014
Editura: Springer
Colecția Springer
Seria SpringerBriefs in Computer Science

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

Introduction.- Crawling Twitter Data.- Storing Twitter Data.- Analyzing Twitter Data.- Visualizing Twitter Data.