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#### Initial setup: Install and open the text package in an R environment (only required the first time).
#install.packages("text")
#textrpp_install()
#textrpp_initialize()
#### Load the package.
library(text)
#### 1: Load data. The following data serves as an example:
data <- dplyr::mutate(.data = Language_based_assessment_data_8, participant_id = dplyr::row_number())
#### 2: Retrieve sentence- and person-level predictions. Choose between our three motives: power, achievement, or affiliation.
predictions <- textPredict(
texts = data$satisfactiontexts,
model_info = "implicitpower_roberta23_nilsson2024",
participant_id = data$participant_id,
dataset_to_merge_predictions = data)
#### 3: Examine sentence- and person-level predictions.
predictions$sentence_predictions
predictions$person_predictions
predictions$dataset These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.