We’ve also split the text models (for scaling and classification) into a new package quanteda.textmodels
https://t.co/svbqeZ6CHf
also on #CRAN
and has new functions for fast linear SVM classifiers for sprase text matrices
#rstats#quanteda#textanalysis#nlp
@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 https://t.co/BH0n5V2ojJ @kenbenoit@compassUoA
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: https://t.co/XAB4PCgU2h
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. @textasdata https://t.co/DyVf9NRn7N
Join @StatHorizons for a 2-day "Text as Data" seminar in Philadelphia on May 31-June 1. Early registration pricing through Monday: https://t.co/Jec0uSNKcL
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!
Reminder: tomorrow from 3pm, @jna_sh will be joining us to demonstrate @github Education. Please RSVP to seds.admin@lse if you're coming! https://t.co/AJ2lVb1vfR