Tag: twitter

Python Web Scraping: Quotes from Goodreads.com

Python Web Scraping: Quotes from Goodreads.com

Over the course of last week, I built a Python program that scrapes quotes from Goodreads.com in a tidy format. For instance, these are the first three results my program returns when scraping for the tag robot: QuoteauthorsourcelikestagsGoodbye, Hari, my love. Remember always--all you did for me.Isaac AsimovForward the Foundation33['asimov', 'foundation', 'human', 'robot']Unfortunately this Electric … Continue reading Python Web Scraping: Quotes from Goodreads.com

rstudio::conf 2019 summary

rstudio::conf 2019 summary

Cool intro video! Thanks to Amelia for pointing to it Welcome to rstudio::conf 2019 Similar to last year, I was not able to attend rstudio::conf 2019. Fortunately, so much of the conference is shared on Twitter and media outlets that I still felt included. Here are some things that I liked and learned from, despite … Continue reading rstudio::conf 2019 summary

Identifying “Dirty” Twitter Bots with R and Python

Past week, I came across two programming initiatives to uncover Twitter bots and one attempt to identify fake Instagram accounts. Mike Kearney developed the R package botornot which applies machine learning to estimate the probability that a Twitter user is a bot. His default model is a gradient boosted model trained using both users-level (bio, location, number of … Continue reading Identifying “Dirty” Twitter Bots with R and Python

The wondrous state of Computer Vision, and what the algorithms actually “see”

The wondrous state of Computer Vision, and what the algorithms actually “see”

The field of computer vision tries to replicate our human visual capabilities, allowing computers to perceive their environment in a same way as you and I do. The recent breakthroughs in this field are super exciting and I couldn't but share them with you. In the TED talk below by Joseph Redmon (PhD at the University of … Continue reading The wondrous state of Computer Vision, and what the algorithms actually “see”

rstudio::conf 2018 summary

rstudio::conf 2018 summary

rstudio::conf is the yearly conference when it comes to R programming and RStudio. In 2017, nearly 500 people attended and, last week, 1100 people went to the 2018 edition. Regretfully, I was on holiday in Cardiff and missed out on meeting all my #rstats hero's. Just browsing through the #rstudioconf Twitter-feed, I already learned so many new things … Continue reading rstudio::conf 2018 summary

Improved Twitter Mining in R

Improved Twitter Mining in R

R users have been using the twitter package by Geoff Jentry to mine tweets for several years now. However, a recent blog suggests a novel package provides a better mining tool: rtweet by Michael Kearney (GitHub). Both packages use a similar setup and require you to do some prep-work by creating a Twitter “app” (see the package instructions). However, rtweet will save … Continue reading Improved Twitter Mining in R