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Twitter Data Analytics (SpringerBriefs in Computer Science) [9781461493716]

Paperback
SKU: 9781461493716
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Format Lightweight and affordable. Perfect for student groups and classrooms, and a versatile option for corporate trainings, team reads, or large-scale events.

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Overview

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.

The book, Twitter Data Analytics (SpringerBriefs in Computer Science) [Bulk, Wholesale, Quantity] ISBN#9781461493716 in Paperback by Shamanth Kumar, Fred Morstatter, Huan Liu may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Author:
Shamanth Kumar Fred Morstatter Huan Liu
Format:
Paperback
Publication Date:
11/12/2013
ISBN-13:
9781461493716
Pages:
77
Publisher:
Springer New York

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