How to use Hanlp for named entity recognition and part of speech tagging in python

This article introduces the knowledge of "how python calls Hanlp for named entity recognition and part of speech tagging". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Pyhanlp has only a few functions, and other complex functions need to be implemented by calling java code using python.

The following is the model part of api, mostly written according to the document.

Python calls java requires the jpype library: an easy way to install jpype

Recognition result:

{'place': [' Wusheng County / ns', 'Ningxia / ns',' Guyuan City / ns', 'Pengyang County / ns',' Honghe Town / ns', 'Hong Kong / ns'],' person': ['Zong Chengqing / nr'],' organization': ['Lanxiang / nt',' Institute of Computing Technology, Chinese Academy of Sciences / nt'], 'time': [2018 / t' 'June / tween, 'now / t']}

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