Emotion Detection in Text: Focusing on Latent Representation
Table 4: Results of classification using bidirectional GRU. Reported numbers are F1-measures.
['[BOLD] Emotion', '[BOLD] Wang et al%.', '[BOLD] Ours%', '[BOLD] Difference%']
as shown, the results from our model shows significant improvement from 10% increase in F-measure for a high count emotion joy up to 61.7 point increase in F-measure for a low count emotion surprise. on average we showed 26.8 point increase in F-measure for all categories and more interestingly our result shows very little variance between different emotions compare to results reported by Wang et al.