yongzhuo/Pytorch-NLU
中文文本分类、序列标注工具包（pytorch），支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词、抽取式文本摘要等序列标注任务。 Chinese text classification and sequence labeling toolkit, supports multi class and multi label classification, text similsrity, text summary and NER.
This tool helps data scientists and NLP practitioners categorize Chinese text or extract key information from it. You input Chinese text data, and it outputs classifications (like news categories or sentiment) or extracts specific entities (such as names, organizations, or dates). It's designed for anyone who needs to automate the understanding and organization of large volumes of Chinese textual content.
353 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to build models for classifying Chinese text into categories or for extracting specific entities like names or locations from Chinese documents.
Not ideal if your primary need is for English language processing or if you require an off-the-shelf solution without any model training.
Stars
353
Forks
52
Language
Python
License
Apache-2.0
Category
Last pushed
Jul 18, 2024
Commits (30d)
0
Dependencies
4
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