Twitter Data Analytics

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 pres...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Kumar, Shamanth (Συγγραφέας), Morstatter, Fred (Συγγραφέας), Liu, Huan (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2014.
Σειρά:SpringerBriefs in Computer Science,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Kumar, Shamanth.  |e author. 
245 1 0 |a Twitter Data Analytics  |h [electronic resource] /  |c by Shamanth Kumar, Fred Morstatter, Huan Liu. 
264 1 |a New York, NY :  |b Springer New York :  |b Imprint: Springer,  |c 2014. 
300 |a X, 77 p. 26 illus.  |b online resource. 
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490 1 |a SpringerBriefs in Computer Science,  |x 2191-5768 
505 0 |a Introduction -- Crawling Twitter Data -- Storing Twitter Data -- Analyzing Twitter Data -- Visualizing Twitter Data. 
520 |a 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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650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Multimedia Information Systems. 
650 2 4 |a User Interfaces and Human Computer Interaction. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Database Management. 
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700 1 |a Liu, Huan.  |e author. 
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