cho3 / AffectiveClassification

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Affective Classification

Experiments in regression and classification on text-based affect (emotion) datasets.

Benchmarks

Another person did experiments on both the ISEAR and Fairtale (Alm2007) datasets as well, https://github.com/bogdanneacsa/tts-master TODO: list semeval2007

Valence

Method r Acc Prec Rec F1
semeval-best 47.70 55.10 61.42 66.38 42.43

Anger

Method r Acc Prec Rec F1
semeval-best 32,33 93.60 16.67 21.60 16.03

Disgust

Method r Acc Prec Rec F1
semeval-best 18.55 97.30 0 0 N/A

Fear

Method r Acc Prec Rec F1
semeval-best 44.92 87.90 33.33 26.27 20.06

Joy

Method r Acc Prec Rec F1
semeval-best 26.11 82.20 54.54 9.44 14.91

Sadness

Method r Acc Prec Rec F1
semeval-best 40.98 89.00 48.97 22.92 30.38

Surprise

Method r Acc Prec Rec F1
semeval-best 16.71 89.10 13.70 16.56 15.00

Trust

Method r Acc Prec Rec F1
semeval-best N/A N/A N/A N/A N/A

Anticipation

Method r Acc Prec Rec F1
semeval-best N/A N/A N/A N/A N/A

Datasets

TODO: list datasets

About


Languages

Language:Julia 100.0%