Function reference • text2map

Embeddings functions

Functions for word embeddings

CMDist() cmdist(): Calculate Concept Mover's Distance

CoCA() coca(): Performs Concept Class Analysis (CoCA)

get_centroid(): Word embedding semantic centroid extractor

get_direction(): Word embedding semantic direction extractor

get_regions(): Word embedding semantic region extractor

get_anchors(): Gets anchor terms from precompiled anchor lists

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

test_anchors(): Evaluate anchor sets in defining semantic relations

DTM Functions

Functions for document-term matrices

dtm_builder(): A fast unigram DTM builder

dtm_stopper(): Removes terms from a DTM based on rules

dtm_stats(): Gets DTM summary statistics

dtm_resampler(): Resamples an input DTM to generate new DTMs

dtm_melter(): Melt a DTM into a triplet data frame

Inference Functions

Functions for inference and robustness checks

perm_tester(): Monte Carlo Permutation Tests for Model P-Values

rancor_builder(): Build a Random Corpus

rancors_builder(): Build Multiple Random Corpora

General Functions

General functions for text analysis

vocab_builder(): A fast unigram vocabulary builder

seq_builder(): Represent Documents as Token-Integer Sequences

get_stoplist(): Gets stoplist from precompiled lists

tiny_gender_tagger(): A very tiny "gender" tagger

Textnet Functions

Functions for textual networks

doc_centrality(): Find a specified document centrality metric

doc_similarity(): Find a similarities between documents

Datasets

Included datesets

anchor_lists: A dataset of anchor lists

stoplists: A dataset of stoplists

ft_wv_sample: Sample of fastText embeddings

jfk_speech: Full Text of JFK's Rice Speech

meta_shakespeare: Metadata for Shakespeare's First Folio

Methods

Methods for specific classes

plot(<CoCA>): Plot CoCA

print(<CoCA>): Prints CoCA class information