Name: Kenneth Benoit
Type: User
Company: London School of Economics and Political Science
Bio: Professor of Computational Social Science; Director, LSE Data Science Institute:
Director of @quanteda Initiative
Twitter: kenbenoit
Location: London
Blog: http://kenbenoit.net
Kenneth Benoit's Projects
Machine Learning for Political Science Masterclass - ANU 2020
Replication materials for Scaling hand-coded political texts to learn more about left-right policy content
Test for C++ boost regex functions with R
Coursepack trial with bookdown
Replication Materials for "Crowd-Sourced Text Analysis" APSR (2016) 110(2): 278-295.
rstudio::conf(2020) deep learning workshop
Detecting Concreteness in Natural Language
Database of parties, elections, and governments
Award MSc degree marks according to LSE rules
Fast Naive Bayes implementation in R
An extensible framework for high-performance geostatistics in Julia
Make a DocumentTermMatrix faster
Introduction to Text Analysis Using R
A Brief Introduction to Text Analysis Using R
Kenneth Benoit's personal website
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An R package for Keyword Assisted Topic Models
Shiny app to compute Laver and Benoit (2015) legislative types
:newspaper: Working with newspaper data from 'LexisNexis'
:exclamation: This is a read-only mirror of the CRAN R package repository. LiblineaR — Linear Predictive Models Based on the LIBLINEAR C/C++ Library. Homepage: <https://www.dnalytics.com/software/liblinear/>
R package to extend quanteda to mimic LIWC
A word embeddings-based semi-supervised model for document scaling
An R package for accessing the Manifesto Project's Data and Corpus of election programmes
ME314 Introduction to Data Science and Big Data Analytics 2018
Newsmap: geographical news classifier
Convert your (Beamer) PDF slides to (Powerpoint) PPTX