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Twitter data analytics

Author: Shamanth Kumar; Fred Morstatter; Huan Liu
Publisher: New York : Springer, 2014.
Series: SpringerBriefs in computer science
Edition/Format:   eBook : Document : EnglishView all editions and formats
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.  Read more...
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Genre/Form: Electronic books
Ebook
Additional Physical Format: Print version:
Kumar, Shamanth.
Twitter data analytics.
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Shamanth Kumar; Fred Morstatter; Huan Liu
ISBN: 9781461493723 1461493722 1306278198 9781306278195
OCLC Number: 867722589
Description: 1 online resource (x, 77 pages) : illustrations.
Contents: Crawling Twitter Data --
Storing Twitter Data --
Analyzing Twitter Data --
Visualizing Twitter Data.
Series Title: SpringerBriefs in computer science
Responsibility: Shamanth Kumar, Fred Morstatter, Huan Liu.

Abstract:

This brief provides methods for harnessing Twitter data to discover solutions to complex inquiries. The text gives examples of Twitter data with real-world examples, the present challenges and  Read more...

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