micheleriva/Emotion-Detection-ML-Example

🤓 Simple Emotion Detection Neural Network made with brain.js for an article on Hackdoor

40
/ 100
Emerging

This tool helps you analyze text to understand the emotions conveyed, such as joy, sadness, or anger. You input written text, and it outputs the detected emotion. This is useful for anyone looking to quickly gauge the emotional tone of written content.

No commits in the last 6 months.

Use this if you need a straightforward way to identify emotions in short pieces of text.

Not ideal if you require highly nuanced emotional analysis or processing of very large text datasets.

content-analysis text-analysis customer-feedback sentiment-analysis user-research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 17 / 25

How are scores calculated?

Stars

30

Forks

9

Language

JavaScript

License

MIT

Last pushed

Mar 04, 2020

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/micheleriva/Emotion-Detection-ML-Example"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.