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Emotion English
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Emotion English
Developed by jitesh
An emotion classification model for English text that can identify 20 different emotional states.
Downloads 211.18k
Release Time : 4/12/2023
Model Overview
This model is specifically designed for text emotion recognition tasks, capable of classifying input English text into 20 different emotion categories, including common emotions such as anger, happiness, and sadness.
Model Features
Multi-emotion classification
Capable of recognizing 20 different emotional states, providing more granular classification than traditional basic emotion categories.
Ease of use
Offers a simple pipeline interface, enabling emotion classification with just a few lines of code.
Open-source license
Released under the MIT license, allowing free use and modification.
Model Capabilities
English text emotion recognition
Multi-category emotion classification
Sentiment analysis
Use Cases
Mental health analysis
User emotion monitoring
Analyzing user emotional states in social media or customer service conversations
Helps identify negative emotions for timely intervention
Market research
Product review analysis
Analyzing consumer emotional responses to products
Understand genuine consumer feelings to improve products and services
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