Keyword Assisted Topic Models

Documentation for package ‘keyATM’ version 0.5.2

keyATM-package	Keyword Assisted Topic Models
by_strata_DocTopic	Estimate document-topic distribution by strata (for covariate models)
by_strata_TopicWord	Estimate subsetted topic-word distribution
covariates_get	Return covariates used in the iteration
covariates_info	Show covariates information
keyATM	keyATM main function
keyATMvb	keyATM with Collapsed Variational Bayes
keyATM_data_bills	Bills data
keyATM_read	Read texts
multiPGreg	Run multinomial regression with Polya-Gamma augmentation
plot.strata_doctopic	Plot document-topic distribution by strata (for covariate models)
plot_alpha	Show a diagnosis plot of alpha
plot_modelfit	Show a diagnosis plot of log-likelihood and perplexity
plot_pi	Show a diagnosis plot of pi
plot_timetrend	Plot time trend
plot_topicprop	Show the expected proportion of the corpus belonging to each topic
predict.keyATM_output	Predict topic proportions for the covariate keyATM
read_keywords	Convert a quanteda dictionary to keywords
save_fig	Save a figure
semantic_coherence	Semantic Coherence: Mimno et al. (2011)
top_docs	Show the top documents for each topic
top_topics	Show the top topics for each document
top_words	Show the top words for each topic
values_fig	Get values used to create a figure
visualize_keywords	Visualize keywords
weightedLDA	Weighted LDA main function