Emotion Detection (SemEval-2018 Task 1)

# Emotion Detection (SemEval-style)
# Based on SemEval shared tasks for emotion detection
#
# This configuration supports multi-label emotion classification
# with optional intensity ratings for detected emotions.
#
# Emotion Taxonomy (Ekman's basic emotions):
# - Joy: Happiness, pleasure, contentment, elation
# - Sadness: Grief, sorrow, melancholy, disappointment
# - Fear: Anxiety, worry, terror, apprehension
# - Anger: Frustration, irritation, rage, annoyance
# - Surprise: Astonishment, amazement (can be positive or negative)
# - Disgust: Revulsion, aversion, distaste
#
# Annotation Guidelines:
# 1. Read the entire text before making judgments
# 2. Select ALL emotions that are expressed or evoked
# 3. An emotion is "expressed" if the author conveys feeling it
# 4. An emotion is "evoked" if the text would cause readers to feel it
# 5. Multiple emotions can co-occur (e.g., sad and angry)
# 6. "Neutral" should only be selected if NO emotion is present
# 7. For intensity, consider strength of emotional language

annotation_task_name: "Emotion Detection"
task_dir: "."

data_files:
  - sample-data.json
item_properties:
  id_key: "id"
  text_key: "text"

output_annotation_dir: "annotation_output/"
output_annotation_format: "json"

annotation_schemes:
  # Step 1: Multi-label emotion classification
  - annotation_type: multiselect
    name: emotions
    description: "Select ALL emotions expressed or evoked by this text (select multiple if applicable)"
    labels:
      - "Joy"
      - "Sadness"
      - "Fear"
      - "Anger"
      - "Surprise"
      - "Disgust"
      - "Neutral"
    label_colors:
      "Joy": "#22c55e"
      "Sadness": "#3b82f6"
      "Fear": "#8b5cf6"
      "Anger": "#ef4444"
      "Surprise": "#f59e0b"
      "Disgust": "#84cc16"
      "Neutral": "#9ca3af"
    tooltips:
      "Joy": "Happiness, pleasure, contentment, elation, amusement, or positive excitement"
      "Sadness": "Grief, sorrow, melancholy, disappointment, or loneliness"
      "Fear": "Anxiety, worry, terror, apprehension, or nervousness about potential threats"
      "Anger": "Frustration, irritation, rage, annoyance, or hostility"
      "Surprise": "Astonishment, amazement, or unexpectedness (can be positive or negative)"
      "Disgust": "Revulsion, aversion, distaste, or strong disapproval"
      "Neutral": "No discernible emotion - factual or emotionally flat content"
    min_selections: 1
    max_selections: 7

  # Step 2: Intensity rating for primary emotion
  - annotation_type: likert
    name: intensity
    description: "How intense is the strongest emotion in this text?"
    min_value: 1
    max_value: 5
    labels:
      1: "Very weak"
      2: "Weak"
      3: "Moderate"
      4: "Strong"
      5: "Very strong"
    tooltips:
      1: "Barely perceptible emotion, subtle hints"
      2: "Mild emotional content, understated"
      3: "Clear but not overwhelming emotion"
      4: "Strong emotional language, clearly intense"
      5: "Extremely intense, powerful emotional expression"

  # Step 3: Confidence in annotation
  - annotation_type: likert
    name: confidence
    description: "How confident are you in your emotion labels?"
    min_value: 1
    max_value: 5
    labels:
      1: "Very uncertain"
      2: "Somewhat uncertain"
      3: "Moderately confident"
      4: "Confident"
      5: "Very confident"

allow_all_users: true
instances_per_annotator: 100
annotation_per_instance: 3
allow_skip: true
skip_reason_required: false