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EmotionDetection

A lightweight Python package and API service for detecting emotions in text using IBM Watson NLP.

Overview

EmotionDetection analyzes natural language input and identifies the dominant emotional tone. It leverages the Watson NLP Emotion Predict model to classify text into five categories:

  • joy
  • anger
  • disgust
  • sadness
  • fear

The project includes:

  • a reusable Python package
  • a simple Flask-based API
  • unit tests
  • static code analysis compliance (PyLint 10/10)

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  • Python 68.1%
  • HTML 23.7%
  • JavaScript 8.2%