Man pages for text2map
R Tools for Text Matrices, Embeddings, and Networks
| 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 |
| Matrix | Import Matrix |
| meta_shakespeare | Metadata for Shakespeare's First Folio |
| perm_tester | Monte Carlo Permutation Tests for Model P-Values |
| pipe | Pipe operator |
| plot.CoCA | Plot CoCA |
| print.CoCA | Prints CoCA class information |
| rancor_builder | Build a Random Corpus |
| rancors_builder | Build Multiple Random Corpora |
| seq_builder | Represent Documents as Token-Integer Sequences |
| stoplists | A dataset of stoplists |
| text2map-package | Text2Map |
| tiny_gender_tagger | A very tiny "gender" tagger |
| vocab_builder | A fast unigram vocabulary builder |
