In quanteda/quanteda.classifiers: Models for supervised text classification

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quanteda.classifiers: Text classification textmodel extensions for quanteda

Installation

To install this package, use the following, which also installs what the R keras package needs in order to run.

# devtools package required to install quanteda from Github 
devtools::install_github("quanteda/quanteda.classifiers") 

keras::install_keras(method = "conda")

Available classifiers

This package contains two experimental methods that are built on top of the keras package. (The SVM models have been moved to quanteda.textmodels.)

Classifier | Command --|-- Multilevel perceptron network | textmodel_mlp() Convolutional neural network + LSTM model fitted to word embeddings | textmodel_cnnlstmemb()

Available human-annotated corpora

Corpus | Name --|-- Sentence-level corpus of UK party manifestos 1945–2019, partially annotated | data_corpus_manifestosentsUK Large Movie Review Dataset of 50,000 annotated highly polar movie reviews for training and testing, from Maas et. al. (2011) | data_corpus_LMRD

Demonstration

See this (very preliminary!) performance comparison.

How to cite

Benoit, Kenneth, Patrick Chester, and Stefan Müller (2019). quanteda.classifiers: Models for supervised text classification. R package version 0.2. URL: http://github.com/quanteda/quanteda.svm.

For a BibTeX entry, use the output from citation(package = "quanteda.classifiers").