luopeixiang/named_entity_recognition

中文命名实体识别(包括多种模型:HMM,CRF,BiLSTM,BiLSTM+CRF的具体实现)

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Emerging

This project helps you automatically identify and extract key pieces of information, like names of people or locations, from Chinese text documents such as resumes. You provide raw Chinese text, and it returns the same text with specific words or phrases labeled by category. This tool is useful for data analysts, HR professionals, or anyone who needs to process large volumes of Chinese text to find structured information.

2,275 stars. No commits in the last 6 months.

Use this if you need to quickly and accurately identify and categorize specific entities (like names, places) within Chinese text documents.

Not ideal if your primary need is for a system that can handle languages other than Chinese or if you require very detailed, nuanced semantic understanding beyond entity extraction.

Chinese-text-processing information-extraction resume-parsing data-labeling text-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 25 / 25

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Stars

2,275

Forks

533

Language

Python

License

Last pushed

Jun 21, 2022

Commits (30d)

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