2974 search results for "twitter"

Greenville on Twitter

December 20, 2016
By
Greenville on Twitter

In this blogpost, we use R to use Twitter data to analyze topics of interest to Greenville, SC. We will describe obtaining, manipulating, and summarizing the data. Twitter is a “microblogging” service where users can, usually publicly, share links, pictures, or short comments (up to 140 characters) onto a timeline. The public timeline consists of all public tweets, but people...

Read more »

Extract Twitter Data Automatically using Scheduler R package

November 29, 2016
By
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

Read more »

Watching the Watchers – An Analysis of Pakistani Journalists using their Twitter Data

October 1, 2016
By
Watching the Watchers – An Analysis of Pakistani Journalists using their Twitter Data

Journalism in Pakistan has, in the recent years, become quite a lustrous industry, with a considerable fan following which mimics that of the Film and Drama Industry. Indeed, some Pakistani journalists are admired and followed passionately by large seg...

Read more »

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

July 29, 2016
By
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...

Read more »

Playing with Twitter Data

April 28, 2016
By
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...

Read more »

Mapping Twitter Followers in R

April 8, 2016
By
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...

Read more »

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...

Read more »

Setting up the Twitter R package for text analytics

February 23, 2016
By
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...

Read more »

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

February 2, 2016
By

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...

Read more »

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

January 27, 2016
By
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,...

Read more »

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)