Table 4 Emotion analysis results of L-MLkNN.
From: Emotion classification for short texts: an improved multi-label method
SA | HL | OE | RL | AVP | ||
|---|---|---|---|---|---|---|
α = 0.5 | K = 5 | 0.7872 | 0.2042 | 0.7701 | 0.2311 | 0.7884 |
K = 8 | 0.7926 | 0.1876 | 0.6174 | 0.2287 | 0.7913 | |
α = 0.7 | K = 5 | 0.8182 | 0.0809 | 0.7823 | 0.1526 | 0.7423 |
K = 8 | 0.8205 | 0.0917 | 0.5256 | 0.1598 | 0.8101 | |
α = 0.9 | K = 5 | 0.7658 | 0.1226 | 0.6023 | 0.0944 | 0.7643 |
K = 8 | 0.7766 | 0.1293 | 0.5198 | 0.1294 | 0.7701 | |
