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Twitter Data Analytics - (Springerbriefs in Computer Science) by Shamanth Kumar & Fred Morstatter & Huan Liu (Paperback)
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About this item
Highlights
- This brief provides methods for harnessing Twitter data to discover solutions to complex inquiries.
- Author(s): Shamanth Kumar & Fred Morstatter & Huan Liu
- 77 Pages
- Computers + Internet, Databases
- Series Name: Springerbriefs in Computer Science
Description
Book Synopsis
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.Dimensions (Overall): 9.21 Inches (H) x 6.14 Inches (W) x .18 Inches (D)
Weight: .3 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 77
Genre: Computers + Internet
Sub-Genre: Databases
Series Title: Springerbriefs in Computer Science
Publisher: Springer
Theme: Data Mining
Format: Paperback
Author: Shamanth Kumar & Fred Morstatter & Huan Liu
Language: English
Street Date: November 12, 2013
TCIN: 94477236
UPC: 9781461493716
Item Number (DPCI): 247-18-2445
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.18 inches length x 6.14 inches width x 9.21 inches height
Estimated ship weight: 0.3 pounds
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