|
terms_by_date() unigrams_by_date() bigrams_by_date()
|
Split a text source into tokens and terms by date of occurrence |
|
plot_term_frequencies()
|
Plot individual term frequencies by date in a faceted plot |
|
plot_topic_frequencies()
|
Plot individual topic frequencies by date in a faceted plot |
|
primary_topics()
|
Document counts and mean topic shares of the three primary topics for each
document |
|
sample_dfm
|
Document-feature-matrix of the inaugural presidential speeches |
|
sample_topic_doc_probs
|
Per-document topic probabilities for the sample topics |
|
sample_topics
|
A STM topic model of the inaugural presidential speeches |
|
select_top_terms()
|
Select top terms by count, trend metric and/or name pattern |
|
select_top_topics()
|
Select top topics by document counts or temporal trend metric |
|
term_counts()
|
Count unique terms in a text source |
|
term_frequencies()
|
Compute the frequency of terms within in a chosen time period |
|
terms_dfm()
|
Create a document-feature-matrix from a text source |
|
terms_tokens_map()
|
Summarize mappings between terms and tokens from a text source |
|
topic_frequencies()
|
Compute topic shares for a given time bin |
|
topics_by_doc_date()
|
Extract topic likelihoods per document for an STM topic model |
|
topics_summary()
|
Mean topic likelihoods summary |
|
topics_terms_map()
|
Extract a mapping between topics and representative topic terms from an STM |
|
topicsplorrr
|
topicsplorrr: A Package Supporting Topical Text Analysis, Exploration and
Visualization |