metadata

license: apache-2.0
language:
  - en
library_name: sklearn
tags:
  - emotions
pipeline_tag: text-classification
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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