baidu/lac

百度NLP:分词,词性标注,命名实体识别,词重要性

58
/ 100
Established

LAC helps you automatically break down Chinese text into meaningful units, identify the type of each word (like a noun or verb), and recognize specific entities such as names of people, places, or organizations. It takes raw Chinese sentences as input and outputs segmented words, their grammatical tags, and their importance within the sentence. This tool is ideal for anyone working with large volumes of Chinese text, like linguists, data analysts, or content strategists.

3,992 stars. Used by 1 other package. No commits in the last 6 months. Available on PyPI.

Use this if you need to accurately process and understand the structure and key information within Chinese text for tasks like text analysis or content categorization.

Not ideal if your primary need is for languages other than Chinese, or if you require extremely complex, domain-specific semantic understanding beyond basic lexical analysis and named entity recognition.

Chinese-text-analysis natural-language-processing content-categorization information-extraction sentiment-analysis
Stale 6m
Maintenance 0 / 25
Adoption 11 / 25
Maturity 25 / 25
Community 22 / 25

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Stars

3,992

Forks

592

Language

C++

License

Apache-2.0

Last pushed

May 25, 2021

Commits (30d)

0

Reverse dependents

1

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