References
References
Most of the work presented in this website is inspired in the content
kindly shared by the following people (special thanks to all of them)
Hacking Twitter References
In alphabetical order
AAA2011-Tweets (American Anthropological Association)
by Ben Marwick
Getting Started with Twitter Analysis in R
by Toni Hirst
by Cornelius Puschmann
by Jeffrie van der Tol
R twitteR Analysis: How HOT is the Lynas Rare Earths Mining Malaysia?
by CloudStat
Slides from my R tutorial on Twitter text mining #rstats
by Jeffrey Breen
Text Data Mining with Twitter and R
by Heuristic Andrew
by twitter developers
by Alberto Negron
Twitter Analysis Using R - An Introduction
by Christopher Mascaro
Twitter Client for R (vignette)
by Jeff Gentry
Twitter Sentiment Analysis Tutorial 2011
by Jeffrey Breen
Using R to search Twitter for analysis
by Earl Glynn
by Matteo Redaelli
Using Text Mining to Find Out What @RDataMining Tweets are about
by Yanchang Zhao
R pakcages
It's virtually impossible to perform a decent twitter analysis in R
without some extremely useful packages:
twitteR (twitter client for R)
http://cran.r-project.org/web/packages/twitteR/vignettes/twitteR.pdf
XML (for parsing XML and HTML documents)
http://www.omegahat.org/RSXML/
tm (for text mining)
http://tm.r-forge.r-project.org/index.html
ggplot2 (for cool and elegant graphics)
stringr (makes string functions simpler and easier to use)
https://github.com/hadley/stringr/blob/master/README.md
igraph (for graphs and networks)
RColorBrewer (for nice color palettes)
wordcloud (for wordclouds aka tag clouds)
© Gaston Sanchez 2012