For example, the LTI index, computed over automatically extracted local topics, produces Topic Control assignments with the average precision of 80% when compared to assignments derived from human-annotated data using the strict accuracy metric.
automated prediction of Involvement based on NPI index is far less reliable, although we can still pick the most involved speaker with 67% accuracy.