email Causes confusion
Typicality: 0.275
Saliency: 0.246

Facets 2
sometimes 4 temporal
between colleagues 2 transitive-object
Open triples 5
email → cause → confusion 9
email → lead to → confusion 4
email → create → confusion 4
email → show → confusion 3
email → result in → confusion 3
Sentiment analysis
negative neutral positive
0.714 0.270 0.016
Other statistics
Raw frequency 23
Normalized frequency 0.246
Modifier score 0.525
Perplexity 221.317