Get Free Shipping on orders over $79
Twitter Data Analytics : SpringerBriefs in Computer Science - Shamanth Kumar

Twitter Data Analytics

By: Shamanth Kumar, Fred Morstatter, Huan Liu

eText | 11 November 2013

At a Glance

eText


$84.99

or 4 interest-free payments of $21.25 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

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.

on
Desktop
Tablet
Mobile

More in Data Mining

Investing for Programmers - Stefan Papp

eBOOK

Conquering the Decision Abyss - Keith Hartley

eBOOK

RRP $15.39

$14.99

Big Data Analytics - Nitin Kumar Yadav

eBOOK