Table 2 Experimental results of emotion classification with basic MLkNN.
From: Emotion classification for short texts: an improved multi-label method
Features | SA | HL | OE | RL | AVP | |
|---|---|---|---|---|---|---|
K = 5 | Unary | 0.4076 | 0.3249 | 0.7151 | 0.2888 | 0.4182 |
Unary + adjacent sentences | 0.5359 | 0.3103 | 0.7006 | 0.2458 | 0.5365 | |
Unary + chapter | 0.5878 | 0.3208 | 0.7190 | 0.2095 | 0.5589 | |
Unary + adjacent sentences + text | 0.6707 | 0.3070 | 0.6764 | 0.1726 | 0.6725 | |
K = 8 | Unary | 0.4208 | 0.2267 | 0.6826 | 0.1794 | 0.4219 |
Unary + adjacent sentences | 0.5774 | 0.2198 | 0.7006 | 0.1758 | 0.5762 | |
Unary + chapter | 0.5878 | 0.2209 | 0.6791 | 0.1923 | 0.5828 | |
Unary + adjacent sentences + text | 0.7179 | 0.2087 | 0.6803 | 0.1832 | 0.7205 |
