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 |