Emotion Detection in Text: Focusing on Latent Representation
Table 7: Results from classifying CrowdFlower data using pre-trained model. Reported numbers are F1-measure.
['[BOLD] Emotion', '[BOLD] Baseline%', '[BOLD] Our Model%', '[BOLD] Difference']
We then classified emotions using the pre-trained models and emotionally fitted fastText embedding. We saw a huge improvement from 26 point increase in F-measure for the emotion joy (happiness) up to 57 point increase for surprise with total average increase of 38.6 points. Bostan and Klinger did not report classification results for the emotion love so we did not include it in the average. These results show that our trained models perform exceptionally on a totally new dataset with a different method of annotation.