DeText

DeText is a Deep Text understanding framework for NLP-related ranking, classification, and language generation tasks. It leverages semantic matching using deep neural networks to understand member intents in search and recommender systems. As a general NLP framework, DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks.

Features

Natural language understanding powered by state-of-the-art deep neural networks
A general framework with great flexibility
Configuration based modeling (e.g., all configurations through command line)
Customizable model architectures
Automatic feature extraction with deep models
Various optimization choices

Project Samples

Project Activity

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License

BSD License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool

Registered

2025-01-23

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