About the S-DAT
S-DAT calculates the average semantic distance between words in each DAT response using multilingual word embeddings.
S-DAT works in multiple languages! Basically, any language and script is supported, although results might vary across languages due availability of training data.
How do I use S-DAT?
To have your DAT responses automatically scored, upload a CSV that includes named 'response', which contains the participant's response. DAT responses should be formatted as one set of responses per cell. The algorithm is case sensitive for the 'response' column name, but it does not matter if other columns are present in the CSV.
The algorithm will add two new columns to your CSV: one named 'prediction' which reflects the model's score and a column named 'modelname', which is added to reflect the model providing the score.
