Twitter Data Analytics
Huan Liu
Reading Time
at 250 WPM1h 28m
The average reader, reading at a speed of 250 WPM, would take 1h 28m to read Twitter Data Analytics.
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88
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Twitter Data Analytics
by Huan Liu
Published
Nov 12, 2013
Publisher
Springer
Pages
88
ISBN-13
9781461493730
ISBN-10
1461493730
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.
Subjects
Reconfigurable Processor Array A Bit Sliced Parallel Computer (USA)
SQL for Dummies
Artificial Intelligence and Soft Computing
Designing Data-Intensive Applications
Database system concepts
A first course in database systems
Frequently Asked Questions
How many pages are in Twitter Data Analytics?
This edition of Twitter Data Analytics has approximately 88 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Twitter Data Analytics?
For most readers, Twitter Data Analytics typically takes between 1h 50m and 1h 13m to complete. This is based on the book's length of approximately 22,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 1h 28m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 3 days • Estimated word count: 22,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Twitter Data Analytics?
The estimated word count for Twitter Data Analytics is approximately 22,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Twitter Data Analytics?
Twitter Data Analytics was written by Huan Liu.
When was Twitter Data Analytics published?
The publication date for this specific edition is Nov 12, 2013. The original work may have been published on a different date.