Twitter Data Analytics
Details
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.
Inhalt
Introduction.- Crawling Twitter Data.- Storing Twitter Data.- Analyzing Twitter Data.- Visualizing Twitter Data.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09781461493716
- Sprache Englisch
- Auflage 2014
- Größe H235mm x B155mm x T6mm
- Jahr 2013
- EAN 9781461493716
- Format Kartonierter Einband
- ISBN 1461493714
- Veröffentlichung 12.11.2013
- Titel Twitter Data Analytics
- Autor Shamanth Kumar , Huan Liu , Fred Morstatter
- Untertitel SpringerBriefs in Computer Science
- Gewicht 149g
- Herausgeber Springer New York
- Anzahl Seiten 88
- Lesemotiv Verstehen
- Genre Informatik