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

In text: Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning

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
)

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.

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.

See Also

see textPCAPlot

Examples

## Not run: 
# Data
df_for_plotting2d <- textPCA(
  words = Language_based_assessment_data_8$harmonywords,
  word_types_embeddings = word_embeddings_4$word_types
)
df_for_plotting2d

## End(Not run)

text documentation built on Sept. 11, 2024, 7:22 p.m.