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