model HasA error
Typicality: 0.498
Saliency: 0.482

Facets 3
in an application part configuration 7 other
in the same direction 6 manner
to occur 4 purpose
Open triples 9
model → have → error 31
model → be in → error 13
model → make → error 13
model → be → error 10
model → contain → error 9
model → produce → error 5
model → be subject to → error 4
model → cause → error 3
model → lead to → error 3
Sentiment analysis
negative neutral positive
0.505 0.408 0.087
Other statistics
Raw frequency 91
Normalized frequency 0.482
Modifier score 0.900
Perplexity 410.027