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natural language processing  \n\n## description  \n  > the Natural Language Processing tools under the nodeJs running time, including Chinese word segmentation, sentiment analysis and so on.  \n\n## simple to use  \n  ```\n  let {oops} = require('nlp_sf');\n  console.log(oops.divide('这是待分词文本，调用oops接口直接分词并且统计词频。'));\n  ```\n\n## [installation](https://www.npmjs.com/package/nlp_sf)  \n  ```\n  npm install nlp_sf\n  ```\n\n## file structure  \n  |  \n  |  \n  +--lib----系统支持库  \n  |  \n  |  \n  +--assets----测试文件  \n  |  \n  |  \n  +--examples----测试程序  \n  |  \n  |  \n  +--index.js----程序入口  \n  |  \n  |  \n  +--package.json  \n  |  \n  |  \n  +--readme.md  \n  \n## api  \n\n  - [nlpir](#nlpir)  \n  - [oops](#oops)  \n\n### nlpir  \n  **description**  \n  > the native Natural Language Processing tools.  \n\n  **loading**  \n  first you need to load nlpir. this is the preferred method:  \n  ```\n  let nlp = require('nlp_sf');\n  let {nlpir} = nlp;\n  ```\n\n  optionally, you also can load nlpir by the method:  \n  ```\n  let {nlpir} = require('nlp_sf');\n  ```\n\n  **.init()**  \n  ```\n  nlpir.init();\n  ```\n\n  **.exit()**  \n  ```\n  nlpir.exit();\n  ```\n\n### oops  \n  **description**  \n  > the interface of the Natural Language Processing.  \n\n  **loading**  \n  first you need to load oops. this is the preferred method:  \n  ```\n  let nlp = require('nlp_sf');\n  let {oops} = nlp;\n  ```\n\n  optionally, you also can load oops by the method:  \n  ```\n  let {oops} = require('nlp_sf');\n  ```\n\n  **.divide(params, error)**  \n  simply, method to divide a string and return array consist of the top 100 words sort by frequency.  \n  default error = false, not throw error.  \n  ```\n  let arr = oops.divide('这是待分词文本，调用oops接口直接分词并且统计词频。');\n  ```\n\n  custom divide params:  \n  _**default**_  \n  ```\n  dict = {},\n  query = {\n    top: 100,\n    freq: 0,\n    len: 1,\n    join: false,\n    tags: ['n', 'a']\n  }\n  ```\n  _set top is -999, export all keywords_  \n  _text is either String or array_  \n  _[tags](http://ictclas.nlpir.org/nlpir/html/readme.htm#_Toc34628482)_\n  ```\n  let path = require('path');\n  let text = '这是待分词文本，调用oops接口直接分词并且统计词频。';\n  let userDict = '../assets/userDict.txt';\n  userDict = path.join(__dirname, userDict);\n  let dict = {\n    userDict: userDict,\n    userWord: ['两国关系 n']\n  };\n  let query = {\n    top: 20,\n    freq: 0,\n    len: 1,\n    join: true,\n    tags: ['n']\n  };\n  let params = {\n    text: text,\n    dict: dict,\n    query: query\n  }\n  let arr = oops.divide(params);\n  ```\n\n  **.sense(params)**  \n  simply, method to sense a string and return object consist of positive point and negative point.  \n  ```\n  let arr = oops.sense('这是待情感分析文本，调用oops接口分析并且返回情感分析结果。');\n  ```\n\n  custom sense params:  \n  ```\n  let path = require('path');\n  let title = '情感分析';\n  let content = '这是待情感分析文本，调用oops接口分析并且返回情感分析结果。';\n  let target = '情感';\n  let userDict = '../assets/userDict.txt';\n  userDict = path.join(__dirname, userDict);\n  let params = {\n    content: content,\n    target: target,\n    title: title,\n    userDict: title\n  }\n  let obj = oops.sense(params);\n  ```\n\n  **.distinguish(array)**  \n  first update dict, second use distinguish  \n  folder /lib/lexical store .yml dict, updateDict read the .yml dict , and update .txt dict store /lib/dict folder  \n  ```\n  let arr = oops.divide(params);\n  oops.updateDict();\n  console.log(oops.distinguish(arr));\n  ```\n\n  **.divdis(params)**  \n  divide + distinguish  \n  first update dict, second use divdis  \n  folder /lib/lexical store .yml dict, updateDict read the .yml dict , and update .txt dict store /lib/dict folder  \n  ```\n  oops.updateDict();\n  console.log(oops.divdis(arr));\n  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