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 |