# nodejieba **Repository Path**: addrie/nodejieba ## Basic Information - **Project Name**: nodejieba - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-08-04 - **Last Updated**: 2025-08-04 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README [![Build Status](https://github.com/yanyiwu/nodejieba/actions/workflows/test.yml/badge.svg)](https://github.com/yanyiwu/nodejieba/actions/workflows/test.yml) [![Financial Contributors on Open Collective](https://opencollective.com/nodejieba/all/badge.svg?label=financial+contributors)](https://opencollective.com/nodejieba) [![Author](https://img.shields.io/badge/author-@yanyiwu-blue.svg?style=flat)](https://github.com/yanyiwu/) [![Platform](https://img.shields.io/badge/platform-Linux,macOS,Windows-green.svg?style=flat)](https://github.com/yanyiwu/nodejieba) [![Performance](https://img.shields.io/badge/performance-excellent-brightgreen.svg?style=flat)](https://github.com/yanyiwu/blog/blob/posts2023archive/_posts/2015-06-14-jieba-series-performance-test.md) [![License](https://img.shields.io/badge/license-MIT-yellow.svg?style=flat)](http://yanyiwu.mit-license.org) [![NpmDownload Status](http://img.shields.io/npm/dm/nodejieba.svg)](https://www.npmjs.org/package/nodejieba) [![NPM Version](https://img.shields.io/npm/v/nodejieba.svg?style=flat)](https://www.npmjs.org/package/nodejieba) [![Code Climate](https://codeclimate.com/github/yanyiwu/nodejieba/badges/gpa.svg)](https://codeclimate.com/github/yanyiwu/nodejieba) - - - # 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 + 词典载入方式灵活，无需配置词典路径也可使用，需要定制自己的词典路径时也可灵活定制。 + 底层算法实现是C++，性能高效。 + 支持多种分词算法，各种分词算法见[CppJieba]的README.md介绍。 + 支持动态补充词库。 + 支持TypeScript，提供完整的类型定义。 对实现细节感兴趣的请看如下博文： + [Node.js的C++扩展初体验之NodeJieba] + [由NodeJieba谈谈Node.js异步实现] ## 安装 ```sh npm install nodejieba ``` ## 快速开始 ```js 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"] ``` 更多示例请参考 [demo](https://github.com/yanyiwu/nodejieba-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。 ```js 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： ```js 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。 ```js 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 + dict: 主词典，带权重和词性标签，建议使用默认词典。 + hmmDict: 隐式马尔科夫模型，建议使用默认词典。 + userDict: 用户词典，建议自己根据需要定制。 + idfDict: 关键词抽取所需的idf信息。 + stopWordDict: 关键词抽取所需的停用词列表。 ## API 文档 ### 分词 #### 1. 默认分词 ```js 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"] ``` #### 2. 使用HMM模型分词 ```js var result = nodejieba.cutHMM("南京市长江大桥"); console.log(result); // ["南京市", "长江大桥"] ``` #### 3. 全模式分词 ```js var result = nodejieba.cutAll("南京市长江大桥"); console.log(result); // ["南京", "南京市", "市长", "长江", "长江大桥", "大桥"] ``` #### 4. 搜索引擎模式分词 ```js var result = nodejieba.cutForSearch("南京市长江大桥"); console.log(result); // ["南京", "市", "长江", "大桥", "南京市", "长江大桥"] ``` #### 5. 小粒度分词 ```js var result = nodejieba.cutSmall("南京市长江大桥", 3); console.log(result); // ["南京市", "长江大桥"] ``` ### 词性标注 ```js var nodejieba = require("nodejieba"); var result = nodejieba.tag("红掌拨清波"); console.log(result); // [ { word: '红掌', tag: 'n' }, // { word: '拨', tag: 'v' }, // { word: '清波', tag: 'n' } ] ``` ### 关键词提取 ```js var nodejieba = require("nodejieba"); var sentence = "我是拖拉机学院手扶拖拉机专业的。不用多久，我就会升职加薪，当上CEO，走上人生巅峰。"; var result = nodejieba.extract(sentence, 5); console.log(result); // [ { word: '升职', weight: 11.739204307083542 }, // { word: '加薪', weight: 10.8561552143 }, // { word: 'CEO', weight: 10.642581114 }, // { word: '手扶拖拉机', weight: 10.0088573539 }, // { word: '巅峰', weight: 9.49395840471 } ] ``` ### TextRank关键词提取 ```js var nodejieba = require("nodejieba"); var sentence = "我是拖拉机学院手扶拖拉机专业的。不用多久，我就会升职加薪，当上CEO，走上人生巅峰。"; var result = nodejieba.textRankExtract(sentence, 5); console.log(result); // [ { word: '当上', weight: 1 }, // { word: '不用', weight: 0.9897190043 }, // { word: '多久', weight: 0.9897190043 }, // { word: '加薪', weight: 0.9897190043 }, // { word: '升职', weight: 0.9897190043 } ] ``` ### 添加自定义词语 ```js var nodejieba = require("nodejieba"); console.log(nodejieba.cut("男默女泪")); // ["男默", "女泪"] nodejieba.insertWord("男默女泪"); console.log(nodejieba.cut("男默女泪")); // ["男默女泪"] ``` More Detals in [demo](https://github.com/yanyiwu/nodejieba-demo) ### 关键词抽取 ```js 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](https://github.com/yanyiwu/nodejieba-demo) ## Develop NodeJieba ```sh git clone --recurse-submodules https://github.com/yanyiwu/nodejieba.git cd nodejieba npm install npm test ``` ## 应用 + 支持中文搜索的 gitbook 插件: [gitbook-plugin-search-pro] + 汉字拼音转换工具: [pinyin] ## 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] [由NodeJieba谈谈Node.js异步实现]:https://github.com/yanyiwu/blog/blob/posts2023archive/_posts/2015-03-21-nodejs-asynchronous-insight.md [Node.js的C++扩展初体验之NodeJieba]:https://github.com/yanyiwu/blog/blob/posts2023archive/_posts/2014-02-22-nodejs-cpp-addon-nodejieba.md [CppJieba]:https://github.com/yanyiwu/cppjieba.git [cnpm]:http://cnpmjs.org [Jieba中文分词]:https://github.com/fxsjy/jieba [Jieba中文分词系列性能评测]:https://github.com/yanyiwu/blog/blob/posts2023archive/_posts/2015-06-14-jieba-series-performance-test.md [contributors]:https://github.com/yanyiwu/nodejieba/graphs/contributors [YanyiWu]:http://github.com/yanyiwu [gitbook-plugin-search-pro]:https://plugins.gitbook.com/plugin/search-pro [pinyin]:https://github.com/hotoo/pinyin ## Contributors ### Code Contributors This project exists thanks to all the people who contribute. [[Contribute](CONTRIBUTING.md)]. ### Financial Contributors Become a financial contributor and help us sustain our community. [[Contribute](https://opencollective.com/nodejieba/contribute)] #### Individuals #### Organizations Support this project with your organization. Your logo will show up here with a link to your website. [[Contribute](https://opencollective.com/nodejieba/contribute)]