MC‑EIU Dataset Analysis

Dataset Download

• Baidu Cloud Link: Link
• Extraction Code: Obtain after paper acceptance via email to the authors.

Dataset Analysis

Data Visualization

• Figure 1: Visualisation of the correlation between emotions and intents in the MC‑EIU dataset. Each circle represents the sample count for a specific "emotion‑intent" pair; larger circles indicate more samples and stronger correlation.

Correlation Analysis

• Datasets: MC‑EIU‑English and MC‑EIU‑Mandarin
• Matrix Representation: Two 7 × 9 matrices where each element indicates the sample count for an "emotion‑intent" pair.
• Visualization Method: Circle radius proportional to sample count, plotted at the corresponding matrix position.

Observations

• Emotion‑Intent Relationship: Not strictly one‑to‑one. Different intents affect specific emotions to varying degrees and vice versa.
  • For example, "Hap‑Sym" appears less frequently than "Hap‑Agr", suggesting that the "Agreeing" intent more often drives the expression of happiness.
• Dataset Differences: The English subset shows more complex emotion‑intent correlations than the Mandarin subset.
  • For instance, the "Sur" emotion is linked to all intent categories in the English data, while in Mandarin it is associated with only six intents ("Que", "Agr", "Con", "Sug", "Wis", and "Neu").
• Model Performance: Because of this complexity, models perform slightly worse on the English dataset compared with the Mandarin dataset.