# R Tools for Text Matrices, Embeddings, and Networks

## Documentation for package ‘text2map’ version 0.1.6

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

anchor_lists | A dataset of anchor lists
CMDist | Calculate Concept Mover's Distance
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
plot.CoCA | Plot CoCA
print.CoCA | Prints CoCA class information
seq_builder | Represent Documents as Token-Integer Sequences
stoplists | A dataset of stoplists
tiny_gender_tagger | A very tiny "gender" tagger
vocab_builder | A fast unigram vocabulary builder