Emotion Detection in Text: Focusing on Latent Representation
Table 6: Distribution of labels in CrowdFlower dataset.
['[BOLD] Emotion', '[BOLD] Number of Tweets']
To asses the performance of these models on a totally unseen data, we tried to classify the CrowdFlower emotional tweets dataset. The CrowdFlower dataset consists of 40k tweets annotated via crowd-sourcing each with a single emotional label. This dataset is considered a hard dataset to classify with a lot of noise. The labeling on this dataset is non-standard, so we used the following mapping for labels: sadness → sadness worry → fear happiness → joy love → love surprise → surprise anger → anger