yanyiwu / nodejieba

"结巴"中文分词的Node.js版本
MIT License
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NodeJieba "结巴"分词的Node.js版本

介绍

NodeJieba是"结巴"中文分词的 Node.js 版本实现, 由CppJieba提供底层分词算法实现, 是兼具高性能和易用性两者的 Node.js 中文分词组件。

特点

对实现细节感兴趣的请看如下博文:

下载

npm install nodejieba

用法

var nodejieba = require("nodejieba");
var result = nodejieba.cut("南京市长江大桥");
console.log(result);
//["南京市","长江大桥"]

More Detals in demo

词典载入可灵活配置

如果没有主动调用词典函数时, 则会在第一次调用cut等功能函数时,自动载入默认词典。

如果要主动触发词典载入,则使用以下函数主动触发。

nodejieba.load();

以上用法会自动载入所有默认词典, 如果需要载入自己的词典,而不是默认词典。 比如想要载入自己的用户词典,则使用以下函数:

nodejieba.load({
  userDict: './test/testdata/userdict.utf8',
});

字典载入函数load的参数项都是可选的, 如果没有对应的项则自动填充默认参数。 所以上面这段代码和下面这代代码是等价的。

nodejieba.load({
  dict: nodejieba.DEFAULT_DICT,
  hmmDict: nodejieba.DEFAULT_HMM_DICT,
  userDict: './test/testdata/userdict.utf8',
  idfDict: nodejieba.DEFAULT_IDF_DICT,
  stopWordDict: nodejieba.DEFAULT_STOP_WORD_DICT,
});

词典说明

词性标注

var nodejieba = require("nodejieba");
console.log(nodejieba.tag("红掌拨清波"));
//[ { word: '红掌', tag: 'n' },
//  { word: '拨', tag: 'v' },
//  { word: '清波', tag: 'n' } ]

More Detals in demo

关键词抽取

var nodejieba = require("nodejieba");
var topN = 4;
console.log(nodejieba.extract("升职加薪,当上CEO,走上人生巅峰。", topN));
//[ { word: 'CEO', weight: 11.739204307083542 },
//  { word: '升职', weight: 10.8561552143 },
//  { word: '加薪', weight: 10.642581114 },
//  { word: '巅峰', weight: 9.49395840471 } ]

console.log(nodejieba.textRankExtract("升职加薪,当上CEO,走上人生巅峰。", topN));
//[ { word: '当上', weight: 1 },
//  { word: '不用', weight: 0.9898479330698993 },
//  { word: '多久', weight: 0.9851260595435759 },
//  { word: '加薪', weight: 0.9830464899847804 },
//  { word: '升职', weight: 0.9802777682279076 } ]

More Detals in demo

Develop NodeJieba

git clone --recurse-submodules https://github.com/yanyiwu/nodejieba.git
cd nodejieba
npm install
npm test

应用

性能评测

应该是目前性能最好的 Node.js 中文分词库 详见: Jieba中文分词系列性能评测

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