anchor_lists | A dataset of anchor lists |
CMDist | Calculate Concept Mover's Distance |
cmdist | Calculate Concept Mover's Distance |
CoCA | Performs Concept Class Analysis (CoCA) |
coca | Performs Concept Class Analysis (CoCA) |
doc_centrality | Find a specified document centrality metric |
doc_similarity | Find a similarities between documents |
dtm_builder | A fast unigram DTM builder |
dtm_melter | Melt a DTM into a triplet data frame |
dtm_resampler | Resamples an input DTM to generate new DTMs |
dtm_stats | Gets DTM summary statistics |
dtm_stopper | Removes terms from a DTM based on rules |
find_projection | Find the 'projection matrix' to a semantic vector |
find_rejection | Find the 'rejection matrix' from a semantic vector |
find_transformation | Find a specified matrix transformation |
ft_wv_sample | Sample of fastText embeddings |
get_anchors | Gets anchor terms from precompiled anchor lists |
get_centroid | Word embedding semantic centroid extractor |
get_direction | Word embedding semantic direction extractor |
get_regions | Word embedding semantic region extractor |
get_stoplist | Gets stoplist from precompiled lists |
jfk_speech | Full Text of JFK's Rice Speech |
meta_shakespeare | Metadata for Shakespeare's First Folio |
perm_tester | Monte Carlo Permutation Tests for Model P-Values |
plot.CoCA | Plot CoCA |
print.CoCA | Prints CoCA class information |
rancors_builder | Build Multiple Random Corpora |
rancor_builder | Build a Random Corpus |
seq_builder | Represent Documents as Token-Integer Sequences |
stoplists | A dataset of stoplists |
test_anchors | Evaluate anchor sets in defining semantic directions |
tiny_gender_tagger | A very tiny "gender" tagger |
vocab_builder | A fast unigram vocabulary builder |