corruption Causes damage
Typicality: 0.252
Saliency: 0.211

Facets 2
in people s lives 6 location
to ms exchange mailboxes 2 transitive-object
Open triples 2
corruption → cause → damage 5
corruption → cause → harm 4
Sentiment analysis
negative neutral positive
0.885 0.109 0.006
Other statistics
Raw frequency 9
Normalized frequency 0.211
Modifier score 0.500
Perplexity 147.042