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.
Description
Twitter Data Analytics SpringerBriefs in Computer Science: Amazon.de: Shamanth Kumar, Fred Morstatter, Huan Liu: Fremdsprachige Bücher
%0 Book
%1 kumar2014twitter
%A Kumar, Shamanth
%A Morstatter, Fred
%A Liu, Huan
%B Springer Briefs in Computer Science
%D 2014
%I Springer
%K media mining social topoi twitter
%T Twitter data analytics
%U http://www.amazon.de/Twitter-Analytics-SpringerBriefs-Computer-Science/dp/1461493714/ref=sr_1_5?ie=UTF8&qid=1445555504&sr=8-5&keywords=twitter+mining
%X 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.
%@ 9781461493723 1461493722 1306278198 9781306278195
@book{kumar2014twitter,
abstract = {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.},
added-at = {2015-10-23T01:13:06.000+0200},
author = {Kumar, Shamanth and Morstatter, Fred and Liu, Huan},
biburl = {https://www.bibsonomy.org/bibtex/2cdc293b11097abb6bfde085f552cc3d7/stumme},
description = {Twitter Data Analytics SpringerBriefs in Computer Science: Amazon.de: Shamanth Kumar, Fred Morstatter, Huan Liu: Fremdsprachige Bücher},
interhash = {312731d52471d6db9ec7fe76e2c09162},
intrahash = {cdc293b11097abb6bfde085f552cc3d7},
isbn = {9781461493723 1461493722 1306278198 9781306278195},
keywords = {media mining social topoi twitter},
publisher = {Springer},
refid = {867722589},
series = {Springer Briefs in Computer Science},
timestamp = {2015-10-23T01:13:06.000+0200},
title = {Twitter data analytics},
url = {http://www.amazon.de/Twitter-Analytics-SpringerBriefs-Computer-Science/dp/1461493714/ref=sr_1_5?ie=UTF8&qid=1445555504&sr=8-5&keywords=twitter+mining},
year = 2014
}