conv-emotion
Emotion recognition in conversations through various architectures.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is conv-emotion?
Conv-emotion is an open-source implementation of different architectures for emotion recognition in conversational data, providing a robust framework for developers and researchers to analyze emotions within text-based interactions.
Key differentiator
“Conv-emotion offers a comprehensive, open-source approach to emotion recognition in conversations, making it ideal for developers and researchers who need flexibility and control over their models.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary support is English with minimal documentation on training new models for other languages
Processing times increase exponentially with larger input sizes, impacting real-time applications
Fit analysis
Who is it for?
✓ Best for
Researchers studying emotion recognition in text-based conversations
Developers building applications that require sentiment analysis of conversational data
✕ Not a fit for
Projects requiring real-time emotion detection with low latency
Applications needing a cloud-hosted solution without self-management
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Integrations
Next step
Get Started with conv-emotion
Step-by-step setup guide with code examples and common gotchas.