The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
#### 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.