- 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?
- Multiple speakers
- 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
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