2913 search results for "twitteR"

Extract Twitter Data Automatically using Scheduler R package

November 29, 2016
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Extract Twitter Data Automatically using Scheduler R package

The following R-script is for 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 using as a name the date from the download. As second we used the package SchedulerR for to specify how long the script runs. This Related Post

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Analyzing the US election using Twitter and Meta-Data in R

July 29, 2016
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Analyzing the US election using Twitter and Meta-Data in R

For my first blog post on R, I want to show how to use R to mine Twitter-data. I wanted to write this guide for several reasons. First, while there are many other guides on R-Bloggers that show similar things, they tend to focus more on setting up your Twitter account and using wordclouds. As … Continue...

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Playing with Twitter Data

April 28, 2016
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Playing with Twitter Data

Last Friday, the Institute for Social Sciences hosted a great one-day conference on various aspects of the reproducability crisis, Making Social Science Transparent. It was the first time I’ve done much tweeting during an event like this, and while it felt a little silly, it was also fun, it was nice to hear what was resonating with...

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Mapping Twitter Followers in R

April 8, 2016
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Mapping Twitter Followers in R

My colleague Jon Lieber and I recently released a new report that analyzes how digital marketplaces that connect workers to consumers demanding their services (e.g. Uber, Thumbtack, Upwork, etc.) are affecting the American labor market. As part of this report, we looked at where these digital marketplaces are most active. Although the biggest ones are now active...

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Gathering Twitter data with the TwitteR2Mongo package

Gathering Twitter data with the TwitteR2Mongo package

The following is a guest post by Philipp Prettl and Lion Weber (University of Konstanz), with support from Simon Munzert. Did you ever want to track trending topics on Twitter, but missed to start the tracking as an event took off? Are you interested in mining massive amounts of Twitter data using R, but lack the tools to store all...

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Setting up the Twitter R package for text analytics

February 23, 2016
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Setting up the Twitter R package for text analytics

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 dat...

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Sentiment Analysis of Uganda Presidential Debate – Using R and Twitter data

February 2, 2016
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Introduction to Digital democracy is here. Social media platforms like Facebook and Twitter are providing inexpensive ways for individuals to engage on political issues, therefore providing a wealth of data that provides insight on an underlying trend that spans both geography and demography. Outbox Uganda carried out a sentiment analysis of Uganda’s first ever presidential debate last month and...

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In-depth analysis of Twitter activity and sentiment, with R

January 27, 2016
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In-depth analysis of Twitter activity and sentiment, with R

Astronomer and budding data scientist Julia Silge has been using R for less than a year, but based on the posts using R on her blog has already become very proficient at using R to analyze some interesting data sets. She has posted detailed analyses of water consumption data and health care indicators from the Utah Open Data Catalog,...

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Use R to connect to twitter and create a wordcloud of your tweets

January 18, 2016
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Use R to connect to twitter and create a wordcloud of your tweets

Recently I wanted to create a wordcloud of my tweets and do further analysis. In this post I am going to show you how to connect to twitter in R and how to make a wordcloud from your tweets. To follow this tutorial, you need a Twitter account. First steps in R Install required libraries … Continue...

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A Graphical Extension of Twitter’s AnomalyDetection Package

January 2, 2016
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A Graphical Extension of Twitter’s AnomalyDetection Package

My New Year’s resolution is to make more than one blog post in 2016. I’m halfway to my minimum goal as of January 2nd so things are looking good. Background Twitter released a new R package earlier this year named AnomalyDetection (link to Github). The Github goes into a bit more detail, but at a high-level it uses a Seasonal...

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