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sentrifybot
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Emotion-1.0

Text Classification
Scikit-learn
English
emotions
Model card Files
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Emotion-1.0

Model Details

Model Description

This advanced AI model accurately detects emotions in text using state-of-the-art natural language processing techniques. It can identify a wide range of emotions, providing valuable insights for businesses and individuals alike. With its machine learning algorithms, it continually refines its understanding of human emotions, offering reliable results at scale.

  • Developed by: SentrifyAI
  • Funded by: Sentrify
  • Model type: Text Classification
  • Language(s) (NLP): English
  • License: Apache-2.0

Uses

Some uses for this model are:

  • Social Media
  • Moderation

How to Get Started with the Model

Use the code below to get started with the model.

from sentrifyai import api
import json

emotions = api.Emotions()

results = emotions.emotion(model_slug='Emotions-1.0', message='This is a sample message.')

json_results = json.dumps(results, indent=4)

print(json_results)

Note: Make sure to install the sentrifyai PyPi package.

pip install sentrifyai

Model Card Authors

The Sentrify Team

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