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conv-emotion

Emotion recognition in conversations through various architectures.

Status
UnmaintainedNo commits in 899 days.
Last checked
Checked · Oct 7, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

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.

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.

When it fits — and when it doesn’t

A good fit for

  • Researchers studying emotion recognition in text-based conversations

  • Developers building applications that require sentiment analysis of conversational data

Look elsewhere if

  • Projects requiring real-time emotion detection with low latency

  • Applications needing a cloud-hosted solution without self-management

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited pre-trained models for diverse languages and dialects

    Primary support is English with minimal documentation on training new models for other languages

  2. 02

    Performance issues with large datasets

    Processing times increase exponentially with larger input sizes, impacting real-time applications

What it does well

  • Supports multiple architectures for emotion recognition

  • Open-source and MIT-licensed

  • Self-hosted solution

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up conv-emotion

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →