Research Article
EmoHeart: Conveying Emotions in Second Life Based on Affect Sensing from Text
Table 7
Results of AAM compared to machine learning methods proposed by Aman and Szpakowicz [
50].
| Algorithm | Measure | joy | sadness | anger | disgust | surprise | fear | neutral |
| AAM | Averaged accuracy | | | | 0.770 | | | | Precision | 0.846 | 0.673 | 0.910 | 0.946 | 0.758 | 0.785 | 0.698 | Recall | 0.858 | 0.763 | 0.564 | 0.506 | 0.652 | 0.730 | 0.862 | F-score | 0.852 | 0.715 | 0.697 | 0.659 | 0.701 | 0.757 | 0.771 |
| ML with unigrams | Precision | 0.840 | 0.619 | 0.634 | 0.772 | 0.813 | 0.889 | 0.581 | Recall | 0.675 | 0.301 | 0.358 | 0.453 | 0.339 | 0.487 | 0.342 | F-score | 0.740 | 0.405 | 0.457 | 0.571 | 0.479 | 0.629 | 0.431 |
| ML with unigrams, RT features, and WNA features | Precision | 0.813 | 0.605 | 0.650 | 0.672 | 0.723 | 0.868 | 0.587 | Recall | 0.698 | 0.416 | 0.436 | 0.488 | 0.409 | 0.513 | 0.625 | F-score | 0.751 | 0.493 | 0.522 | 0.566 | 0.522 | 0.645 | 0.605 |
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