ABE-IPSABE HOLDINGABE BOOKS
English Polski
On-line access

Bookstore

0.00 PLN
Bookshelf (0) 
Your bookshelf is empty
Twitter Data Analytics

Twitter Data Analytics

Authors
Publisher Springer Nature
Year 11/11/2013
Version eBook: Reflowable eTextbook (ePub)
Language English
ISBN 9781461493723
Categories Computing & information technology, Databases, Data mining, Artificial intelligence, User interface design & usability
Product available online
Delivery: access code sent by e-mail
E-Mail
order with obligation to pay
Add to bookshelf

Book description

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.

Twitter Data Analytics

Strony www Białystok Warszawa
801 777 223