Considerations

Things to analyze
- Word recognition -> specific emoji (e.g. clown = 🤡)
- Sentiment analysis
  - Basic implementation should be easy with something like TextBlob
  - Next level would be
    - Looking at tone of voices, not just the words
    - NLP
    - Video Facial Expression Recognition System
      - Avoiding this for the initial project
Special cases
- Multiple speakers
  - Who to analyze?
  - Average sentiment between the two?
- Cringe words/phrases (creepy topics, fringe/conspiracy theories)
  - Build a hard coded library?
  - Is there a list I could auto pull to get the latest? How to keep up with Twitter trends?
Try to avoid internet dependencies
- Offline processing for privacy and bandwidth concerns
- Use local models for AI/NLP
What emoji to show?
- Don't refresh too often
- Wait until end of sentence to gauge sentiment?
- When conversation is neutral sentiment
  - Use direct word/phrase recognition
  - Use "judgement" mode where it responds to things being said

Discussions