textWordPrediction: Compute predictions based on single words for plotting words....

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

Compute predictions based on single words for plotting words. The word embeddings of single words are trained to predict the mean value associated with that word. P-values does NOT work yet (experimental).

Description

Compute predictions based on single words for plotting words. The word embeddings of single words are trained to predict the mean value associated with that word. P-values does NOT work yet (experimental).

Usage

textWordPrediction(
  words,
  word_types_embeddings = word_types_embeddings_df,
  x,
  y = NULL,
  seed = 1003,
  case_insensitive = TRUE,
  text_remove = "[()]",
  ...
)

Arguments

words	Word or text variable to be plotted.
word_types_embeddings	Word embeddings from textEmbed for individual words (i.e., decontextualized embeddings).
x	Numeric variable that the words should be plotted according to on the x-axes.
y	Numeric variable that the words should be plotted according to on the y-axes (y=NULL).
seed	Set different seed.
case_insensitive	When TRUE all words are made lower case.
text_remove	Remove special characters
...	Training options from textTrainRegression().

Value

A dataframe with variables (e.g., including trained (out of sample) predictions, frequencies, p-values) for the individual words that is used for the plotting in the textProjectionPlot function.

Examples

# Data
# Pre-processing data for plotting
## Not run: 
df_for_plotting <- textWordPrediction(
  words = Language_based_assessment_data_8$harmonywords,
  word_types_embeddings = word_embeddings_4$word_types,
  x = Language_based_assessment_data_8$hilstotal
)
df_for_plotting

## End(Not run)
#' @seealso see \code{\link{textProjection}}

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