text (version 1.2.0)

textPCA: Compute 2 PCA dimensions of the word embeddings for individual words.

Description

Compute 2 PCA dimensions of the word embeddings for individual words.

Usage

textPCA(
  words,
  word_types_embeddings = word_types_embeddings_df,
  to_lower_case = TRUE,
  seed = 1010
)

Value

A dataframe with words, their frquency and two PCA dimensions from the word_embeddings for the individual words that is used for the plotting in the textPCAPlot function.

Arguments

words

Word or text variable to be plotted.

word_types_embeddings

Word embeddings from textEmbed for individual words (i.e., decontextualized embeddings).

to_lower_case

Lower case words

seed

Set different seed.

See Also

see textPCAPlot

Examples

if (FALSE) {
# Data
df_for_plotting2d <- textPCA(
  words = Language_based_assessment_data_8$harmonywords,
  word_types_embeddings = word_embeddings_4$word_types
)
df_for_plotting2d
}