Man pages for quanteda.textmodels
Scaling Models and Classifiers for Textual Data
| affinity | Internal function to fit the likelihood scaling mixture... |
| as.coefficients_textmodel | Coerce various objects to coefficients_textmodel |
| as.matrix.csr.dfm | convert a dfm into a matrix.csr from SparseM package |
| as.statistics_textmodel | Coerce various objects to statistics_textmodel |
| as.summary.textmodel | Assign the summary.textmodel class to a list |
| coef.textmodel_ca | Extract model coefficients from a fitted textmodel_ca object |
| data_corpus_dailnoconf1991 | Confidence debate from 1991 Irish Parliament |
| data_corpus_EPcoaldebate | Crowd-labelled sentence corpus from a 2010 EP debate on coal... |
| data_corpus_irishbudget2010 | Irish budget speeches from 2010 |
| data_corpus_moviereviews | Movie reviews with polarity from Pang and Lee (2004) |
| force_conformance | Internal function to match a dfm features to a target set |
| influence.predict.textmodel_affinity | Compute feature influence from a predicted textmodel_affinity... |
| predict.textmodel_affinity | Prediction for a fitted affinity textmodel |
| predict.textmodel_lr | Prediction from a fitted textmodel_lr object |
| predict.textmodel_nb | Prediction from a fitted textmodel_nb object |
| predict.textmodel_svm | Prediction from a fitted textmodel_svm object |
| predict.textmodel_svmlin | Prediction from a fitted textmodel_svmlin object |
| predict.textmodel_wordfish | Prediction from a textmodel_wordfish method |
| predict.textmodel_wordscores | Predict textmodel_wordscores |
| print.coefficients_textmodel | Print methods for textmodel features estimates |
| print.statistics_textmodel | Implements print methods for textmodel_statistics |
| print.summary.textmodel | print method for summary.textmodel |
| print.textmodel_wordfish | print method for a wordfish model |
| summary.textmodel_lr | summary method for textmodel_lr objects |
| summary.textmodel_nb | summary method for textmodel_nb objects |
| summary.textmodel_svm | summary method for textmodel_svm objects |
| summary.textmodel_svmlin | summary method for textmodel_svmlin objects |
| summary.textmodel_wordfish | summary method for textmodel_wordfish |
| textmodel_affinity | Class affinity maximum likelihood text scaling model |
| textmodel_affinity-internal | Internal methods for textmodel_affinity |
| textmodel_ca | Correspondence analysis of a document-feature matrix |
| textmodel_lr | Logistic regression classifier for texts |
| textmodel_lsa | Latent Semantic Analysis |
| textmodel_lsa-postestimation | Post-estimations methods for textmodel_lsa |
| textmodel_nb | Naive Bayes classifier for texts |
| textmodels | quanteda.textmodels: Scaling Models and Classifiers for... |
| textmodel_svm | Linear SVM classifier for texts |
| textmodel_svmlin | [experimental] Linear SVM classifier for texts |
| textmodel_wordfish | Wordfish text model |
| textmodel_wordscores | Wordscores text model |
| textplot_influence | Influence plot for text scaling models |
