@ste_mueller@textasdata First time applying my own sentiment dictionary via #quanteda. Extremely convenient and significantly faster. Thanks for all your efforts on this!
Our first seminar is happening Thursday 24 Jan: 'The 10 Most Important Things I've Learned about Quantitative Text Analysis', with Prof Kenneth Benoit ow.ly/xb1C30nnSc3@kenbenoit@compassUoA
We are organizing #POLTEXT conference in Sep 2019 in Tokyo (poltextconference.org/). This would be the first text analysis conference in Japan. @jbslapin and @amycatalinac are coming for keynote speeches. Why don't you submit your papers?
Do you get tired at the thought of having to analyse vast amounts of text, like Donald Trump’s 40,000 tweets? quanteda @textasdata is a fast, flexible, and comprehensive framework for quantitative text analysis in R. #LSEResearchShowcase ℹ️: bit.ly/2R3hMBu
Hey #textasdata peeps at #TADA2018, check out the newly launched website(s) for the Quanteda Initiative, an organization set up to advance open-source software development for text analysis, especially #quanteda and related R packages. @textasdataquanteda.org
New version v0.99 of #rstats#spacyr package (with @amatsuo_net) on CRAN. New features are auto-installation of not only @spacy_io but also Python itself!