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6 Apr 2013 A short post on using the R twitteR package for text mining and using the R wordcloud package for visualisation. I did this on my Windows machine, which has this problem. I've updated the code due to changes in the recent update of the twitteR package. In addition, I have included a screenshot below from
29 Nov 2016 The following R-script is to download the data automatically from Twitter using the package SchedulerR. As first step we download the data using the OAuth protocol and store the data.
28 May 2014 This series will walk through a few basic examples showing how you can use R to extract and visualize Twitter data. In part one In order to extract tweets, you will need a Twitter application and hence a Twitter account. A number of other packages are available for download and installation. For the
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Take note of the following values from the Twitter app page: "API key", "API secret", "Access token", and "Access token secret". You can use the CRAN version (stable) via the standard install.packages("twitteR") or use the github version. To do the latter: install.packages(c("devtools", "rjson", "bit64", "httr")); Make sure to restart
20 Jun 2017 This tutorial breaks down how to collect Twitter data and display it on a map in a way that even novice coders can understand.
2 Feb 2017 On occasion of the 10,000th R package on CRAN, eoda operated an automated Twitter account which regularly posted the current number of packages available on CRAN until the 10,000-package milestone has been passed on January 28, 2017. #Rstatsgoes10k – Hello World, it's 2017-01-28 01:59:03
23 Feb 2016 The Twitter R package by Jeff Gentry is a great way to get started in Text Analytics. This tutorial is about how to get setup to pull twitter data into R so that you can do some text analytics with it. Basically it is only the first step of getting data in a text analytics Workflow. I should also give a shout out here to Ted
23 Jan 2017 Using the Twitter API should be an easy thing, but sometimes pictures and simple code can save you that extra 5 minutes. With that, this post goes over how to use the Twitter API to get tweets using R. First we need Twitter API Access. The following steps will help you set up your twitter account and be able
plot time series of tweets ts_plot(rt, "3 hours") + ggplot2::theme_minimal() + ggplot2::theme(plot.title = ggplot2::element_text(face = "bold")) + ggplot2::labs( x = NULL, y = NULL, title = "Frequency of #rstats Twitter statuses from past 9 days", subtitle = "Twitter status (tweet) counts aggregated using three-hour intervals", caption

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