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Prompt Classification
P
Prompt Classification
Developed by valpy
A tag classification system for categorizing different types of content, which helps with information organization and management.
Downloads 107
Release Time : 4/18/2024
Model Overview
This project defines a series of tag classifications for categorizing various types of content such as linguistics, factual information, recommendation, and analytical decision-making. It supports functions like information extraction, summarization, classification, and multi-language processing.
Model Features
Multi-domain classification
Supports classification requirements in multiple domains such as linguistics, factual information, recommendation, and analytical decision-making.
Multi-language support
Can handle the classification and translation requirements of multi-language content.
Flexible expansion
Provides an 'Other' category, allowing users to expand new classification tags as needed.
Model Capabilities
Text classification
Information extraction
Content summarization
Multi-language processing
Ethical risk assessment
Use Cases
Content management
Document classification
Automatically classify documents for easy organization and management.
Improve document retrieval efficiency and management convenience.
Information extraction
Extract key information from a large amount of text and classify it.
Quickly obtain structured information and save manual processing time.
Multi-language processing
Translation content classification
Automatically classify the translated content.
Support efficient management of multi-language content.
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