algorithm CapableOf decode neuro-muscular signals
Typicality: 0.304
Saliency: 0.127

Facets 1
from the user’s brain 6 transitive-object
Open triples 2
algorithm → decode → neuro-muscular signals 3
algorithm → understand → neuro-muscular signals 3
Sentiment analysis
negative neutral positive
0.012 0.787 0.201
Other statistics
Raw frequency 6
Normalized frequency 0.127
Modifier score 0.500
Perplexity 61.421