Man pages for quanteda/quanteda.classifiers
Models for supervised text classification
| crossval | Cross-validate a fitted textmodel |
| data_corpus_LMRD | Large Movie Review Dataset from Maas et. al. (2011) |
| data_corpus_manifestosentsUK | Sentence-level corpus of UK party manifestos 1945-2017,... |
| is.tokens2sequences | Check to see if function is a tokens2sequences type |
| performance | Performance statistics for prediction |
| predict.textmodel_cnnlstmemb | Prediction from a fitted textmodel_cnnlstmemb object |
| predict.textmodel_mlp | Prediction from a fitted textmodel_mlp object |
| quanteda.classifiers-package | quanteda.classifiers |
| save.textmodel_mlp | Load or save keras-based textmodels |
| summary.textmodel_cnnlstmemb | summary method for textmodel_cnnlstmemb objects |
| summary.textmodel_mlp | summary method for textmodel_mlp objects |
| textmodel_cnnlstmemb | [Experimental] Convolutional NN + LSTM model fitted to word... |
| textmodel_evaluate | Model evaluation function |
| textmodel_mlp | Multilayer perceptron network (MLP) model for text... |
| tokens2sequences | [Experimental] Convert quanteda tokens to keras sequences |
| tokens2sequences_conform | Match the feature names of one tokens2sequences object to... |
