dem_group: Average document-embeddings in a dem by a grouping variable

In conText: 'a la Carte' on Text (ConText) Embedding Regression

Average document-embeddings in a dem by a grouping variable

Description

Average embeddings in a dem by a grouping variable, by averaging over columns within groups and creating new "documents" with the group labels. Similar in essence to dfm_group.

Usage

dem_group(x, groups = NULL)

Arguments

x	a (dem-class) document-embedding-matrix
groups	a character or factor variable equal in length to the number of documents

Value

a G x D (dem-class) document-embedding-matrix corresponding to the ALC embeddings for each group. G = number of unique groups defined in the groups variable, D = dimensions of pretrained embeddings.

Examples

library(quanteda)

# tokenize corpus
toks <- tokens(cr_sample_corpus)

# build a tokenized corpus of contexts sorrounding a target term
immig_toks <- tokens_context(x = toks, pattern = "immigr*", window = 6L)

# build document-feature matrix
immig_dfm <- dfm(immig_toks)

# construct document-embedding-matrix
immig_dem <- dem(immig_dfm, pre_trained = cr_glove_subset,
transform = TRUE, transform_matrix = cr_transform, verbose = FALSE)

# to get group-specific embeddings, average within party
immig_wv_party <- dem_group(immig_dem,
groups = immig_dem@docvars$party)

conText documentation built on Feb. 16, 2023, 7:32 p.m.