Twitter Data Analytics
tarafından
 
Kumar, Shamanth. author.

Başlık
Twitter Data Analytics

Yazar
Kumar, Shamanth. author.

ISBN
9781461493723

Yazar
Kumar, Shamanth. author.

Fiziksel Niteleme
X, 77 p. 26 illus. online resource.

Seri
SpringerBriefs in Computer Science,

İçindekiler
Introduction -- Crawling Twitter Data -- Storing Twitter Data -- Analyzing Twitter Data -- Visualizing Twitter Data.

Özet
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.

Konu Başlığı
Computer science.
 
Database management.
 
Data mining.
 
Multimedia information systems.
 
User interfaces (Computer systems).
 
Artificial intelligence.
 
Data Mining and Knowledge Discovery.
 
User Interfaces and Human Computer Interaction.
 
Artificial Intelligence (incl. Robotics).

Yazar Ek Girişi
Morstatter, Fred.
 
Liu, Huan.

Ek Kurum Yazar
SpringerLink (Online service)

Elektronik Erişim
http://dx.doi.org/10.1007/978-1-4614-9372-3


Materyal TürüBarkodYer NumarasıDurumu/İade Tarihi
Electronic Book19779-1001QA76.9 .D343Springer E-Book Collection