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E-BOOK
Title Twitter data analytics / Shamanth Kumar, Fred Morstatter, Huan Liu.
Imprint New York : Springer, 2014.

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 Internet  Electronic Book    AVAILABLE
Description 1 online resource (x, 77 pages) : illustrations
Series SpringerBriefs in Computer Science, 2191-5768
SpringerBriefs in computer science, 2191-5768
Bibliog. Includes bibliographical references and index.
Note Available only to authorized UTEP users.
Online resource; title from PDF title page (SpringerLink, viewed November 18, 2013).
Subject Twitter.
Twitter.
Data mining.
Social Media.
Data Mining.
Contents Crawling Twitter Data -- Storing Twitter Data -- Analyzing Twitter Data -- Visualizing Twitter Data.
Summary 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.
Other Author Morstatter, Fred, author.
Liu, Huan, 1958- author.
Other Title Print version: Kumar, Shamanth. Twitter data analytics. 1461493714 9781461493716