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HanLP is a multilingual Natural Language Processing (NLP) library composed of a series of models and algorithms. Built on TensorFlow 2.0, it was designed to advance state-of-the-art deep learning techniques and popularize the application of natural language processing in both academia and industry. HanLP is capable of lexical analysis (Chinese word segmentation, part-of-speech tagging, named entity recognition), syntax analysis, text classification, and sentiment analysis. It comes with pretrained models for numerous languages including Chinese and English. It offers efficient performance, clear structure and customizable features, with plenty more amazing features to look forward to on the roadmap.
Features
- Lexical analysis (word segmentation, part-of-speech tagging, named entity recognition)
- Syntax analysis
- Text classification
- Sentiment analysis
- Extendable and customizable features
- Comes with pretrained models for various human languages
Project Samples
Categories
Artificial Intelligence, Sentiment Analysis, Deep Learning Frameworks, Natural Language Processing (NLP)License
Apache License V2.0Follow HanLP
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