3022 search results for "twitteR"

A glance at R-bloggers Twitter feed

February 27, 2017
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A glance at R-bloggers Twitter feed

It’s the second time I write a post about the blog aggregator R-bloggers, probably because I’m all about R blogs now that I have one. My husband says my posts are so meta. My first post was about R blogs names, in this one I shall focus on the last...

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Twitter Coverage of the Lorne Genome Conference 2017

February 16, 2017
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Twitter Coverage of the Lorne Genome Conference 2017

Things to know about Lorne in the state of Victoria, Australia. It’s situated on the Great Ocean Road, a major visitor attraction and a great way to see the scenic coastline of the region It’s home to a number of life science conferences including Lorne Genome 2017 This week’s project then: use R to analyse … Continue...

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Twitter sentiment analysis with Machine Learning in R using doc2vec approach

Twitter sentiment analysis with Machine Learning in R using doc2vec approach

Recently I’ve worked with word2vec and doc2vec algorithms that I found interesting from many perspectives. Even though I used them for another purpose, the main thing they were developed for is Text analysis. As I noticed, my 2014 year’s article Twitter sentiment analysis is one of the most popular blog posts on the blog even today. The post

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Tutorial: How to set up a Twitter bot using R

February 2, 2017
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Tutorial: How to set up a Twitter bot using R

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 and currently there are 10000 packages on CRAN. — eodacelebratesR (@Rstatsgoes10k) …

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Greenville on Twitter

December 20, 2016
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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...

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

October 1, 2016
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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...

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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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