Predict scores or classification from, e.g., textTrain.

textPredict(
  model_info,
  word_embeddings,
  x_append = NULL,
  type = NULL,
  dim_names = TRUE,
  ...
)

Arguments

model_info: (model object) Model info (e.g., saved output from textTrain, textTrainRegression or textRandomForest).
word_embeddings: (tibble) Word embeddings
x_append: (tibble) Variables to be appended after the word embeddings (x).
type: (string) Type of prediction; e.g., "prob", "class".
dim_names: (boolean) Account for specific dimension names from textEmbed() (rather than generic names including Dim1, Dim2 etc.). If FALSE the models need to have been trained on word embeddings created with dim_names FALSE, so that embeddings were only called Dim1, Dim2 etc.
...: Setting from stats::predict can be called.

Predicted scores from word embeddings.

word_embeddings <- word_embeddings_4
ratings_data <- Language_based_assessment_data_8