Emotion Detection on TV Show Transcripts withSequence-based Convolutional Neural Networks
Table 6: The number of utterances in each dataset. N: neutral, J: joyful, P: peaceful, W: powerful, S: scared, M: mad, D: sad.
['[BOLD] Set', '[BOLD] N', '[BOLD] J', '[BOLD] P', '[BOLD] W', '[BOLD] S', '[BOLD] M', '[BOLD] D', '[BOLD] Total']
Our corpus is split into training, development, and evaluation sets that include 77, 11, and 9 episodes, respectively. Although episodes are randomly assigned, all utterances from the same episode are kept in the same set to preserve the sequence information. Further attempts are made to maintain similar ratios for each emotion across different sets.