Mood Detection

Proposal

  1. Proposed dataset:

    • DailyDialog Dataset: emtion distribution diverse

      • The types of emtions:
        • anger 5.87%
        • disgust 2.03%
        • fear 1%
        • joy 74.02%
        • sadness 6.61%
        • suprise 10.47%
        • Links
        • total of 13,118 samples
    • SemEval Sentiment Analysis in Twitter

      • emtions tags are as follows:
        • anger: 23.97%
        • fear: 31.73%
        • joy: 22.7%
        • sadness: 21.6%
        • links
    • emtion casue:

      • emtion tags are as follows:
        • happiness
        • sadness
        • suprise
        • disgust
        • links
  2. Proposed architecture

    • Bert + classification module
      • testable for classification variation:
        • resnet
        • fully connected layers