customer-service v1.0.0

CustomerService

Question & Answer'Ai

• 中文文档
• english
• API

中文文档

• 介绍
• 要求
• 安装
• 使用

介绍

CustomerService是一个可以从句子里面拆出词汇,并且可以实现问题和回答的相似度匹配的AI系统. 理论上只要词库(中文已有部分)和问答库(未导入)足够的大,就可以实现非常完美的问答.Power By NodeJs.

要求

由于使用了async和await,所以nodejs版本要在7.7.1以上.或使用babel.

安装

npm install customer-service

使用

初始化工具

const CustomerService = require("customer-service");
var customerService = new CustomerService('mylang',2,13);
var sw = customerService.getSplitWord();
var ie = customerService.getImportExport();
var qa = customerService.getQuestionAnswer();

拆词

sw.collisionWord(sw.sentenceToList('我在洗澡，你在干嘛'))
.then((res)=>{
console.log(res);
/* will print
[ { key: 'word:b7669c4218782c0035b6383623e19b29',
    word: '我在',
    questionList: {} },
  { key: 'word:5ac500cfcc1fe66f7243cad4039281d1',
    word: '洗澡',
    questionList: {} },
  { key: 'word:9d63b7094c5a502e66fccc79e5fe1f69',
    word: '你在',
    questionList: {} },
  { key: 'word:c44a42f209fa03606e607994c2321ebd',
    word: '干嘛',
    questionList: {} } ]
*/
});

库的导入和打印

//导入词库字符串
var chunk = "你好\r\n智能";
ie.stringToLevel(chunk,'word')
.then((res)=>{
	console.log(res);
})
.catch((err)=>{
	console.log(err);
});

//导入问答字符串
var chunk = "你在洗澡吗？===>>>然而并没有.\r\n你是屌丝吗？===>>>不是屌丝写什么代码.";
ie.stringToLevel(chunk,'word')
.then((res)=>{
	console.log(res);
})
.catch((err)=>{
	console.log(err);
});

//导入问答字符串

const path = require('path');
//导入词库
ie.readWordToLevel(path.join(__dirname,'word.log'),'word')
.then((res)=>{
	console.log(res);
})
.catch((err)=>{
	console.log(err);
});
//导入问答
ie.readWordToLevel(path.join(__dirname,'qa.log'),'qa')
.then((res)=>{
	console.log(res);
})
.catch((err)=>{
	console.log(err);
});
//print data
ie.printData({start:'word',limit:10});

获取回答

//获取最佳回答
qa.getAnswer('你是屌丝吗')
.then((res)=>{
	console.log(res);
})
.catch((err)=>{
	console.log(err);
});

Document

• intro
• req
• install
• use

intro

CustomerService is a down words from a sentence, and can realize question and answer the similarity matching of AI system. Theoretically as long as the word library (Chinese existing part) and q&a library (import) not enough big, can achieve very perfect answers. The Power By NodeJs.

req

nodejs'version>7.7.1 or use babel.

install

npm install customer-service

use

init

const CustomerService = require("customer-service");
var customerService = new CustomerService('mylang',2,13);
var sw = customerService.getSplitWord();
var ie = customerService.getImportExport();
var qa = customerService.getQuestionAnswer();

split word

sw.collisionWord(sw.sentenceToList('我在洗澡，你在干嘛'))
.then((res)=>{
console.log(res);
/* will print
[ { key: 'word:b7669c4218782c0035b6383623e19b29',
    word: '我在',
    questionList: {} },
  { key: 'word:5ac500cfcc1fe66f7243cad4039281d1',
    word: '洗澡',
    questionList: {} },
  { key: 'word:9d63b7094c5a502e66fccc79e5fe1f69',
    word: '你在',
    questionList: {} },
  { key: 'word:c44a42f209fa03606e607994c2321ebd',
    word: '干嘛',
    questionList: {} } ]
*/
});

lib import or print

//import word by string
var chunk = "你好\r\n智能";
ie.stringToLevel(chunk,'word')
.then((res)=>{
	console.log(res);
})
.catch((err)=>{
	console.log(err);
});

//import q&a by string
var chunk = "你在洗澡吗？===>>>然而并没有.\r\n你是屌丝吗？===>>>不是屌丝写什么代码.";
ie.stringToLevel(chunk,'word')
.then((res)=>{
	console.log(res);
})
.catch((err)=>{
	console.log(err);
});

//import word by file

const path = require('path');
//导入词库
ie.readWordToLevel(path.join(__dirname,'word.log'),'word')
.then((res)=>{
	console.log(res);
})
.catch((err)=>{
	console.log(err);
});

//import q&a by string

ie.readWordToLevel(path.join(__dirname,'qa.log'),'qa')
.then((res)=>{
	console.log(res);
})
.catch((err)=>{
	console.log(err);
});

//print data
ie.printData({start:'word',limit:10});

get answer

//get best answer
qa.getAnswer('你是屌丝吗')
.then((res)=>{
	console.log(res);
})
.catch((err)=>{
	console.log(err);
});

API

• CustomerService
• SplitWord
• ImportExport

• QuestionAnswer

  CustomerService

  ---

  FunctionName constructor

  • Return void
  • Description 构造函数
  • Param

  name	type	require	default	Description
  namespace	string	option	'mylang'	选择的命名空间
  minContinue	number	option	1	拆词的最小长度
  maxContinue	number	option	13	拆词的最大长度

  ---

  FunctionName getSplitWord

  • Return splitWord
  • Description 获取分词工具
  • Param empty

  ---

  FunctionName getImportExport

  • Return importExport
  • Description 获取导入导出工具
  • Param empty

  ---

  FunctionName getQuestionAnswer

  • Return questionAnswer
  • Description 获取提问回答工具
  • Param empty

  SplitWord

  ---

  FunctionName sentenceToList

  • Return singleWordList
  • Description 将句子拆成所有可能的词汇
  • Param

  name	type	require	default	Description
  sentence	string	must	empty	要拆的句子

  ---

  FunctionName collisionWord

  • Return hitWordList
  • Description 将句子所有可能的词汇去碰撞词库得到正确的词汇
  • Param

  name	type	require	default	Description
  singleWordList	Object	must	empty	句子所有可能的词汇

  ---

  FunctionName sentenceToUnsigned

  • Return sentence
  • Description 将句子去除所有符号
  • Param

  name	type	require	default	Description
  sentence	string	must	empty	要去除符号的句子

  ---

  ImportExport

  ---

  FunctionName getData

  • Return tmpData
  • Description 获取当前数据库数据
  • attend 这个方法可能回导致内存溢出,请务必传option
  • Param

  name	type	require	default	Description
  option	Object	option	{}	筛选选项

Additionally, you can supply an options object as the first parameter to createReadStream() with the following options:

• 'gt' (greater than), 'gte' (greater than or equal) define the lower bound of the range to be streamed. Only records where the key is greater than (or equal to) this option will be included in the range. When reverse=true the order will be reversed, but the records streamed will be the same.

• 'lt' (less than), 'lte' (less than or equal) define the higher bound of the range to be streamed. Only key/value pairs where the key is less than (or equal to) this option will be included in the range. When reverse=true the order will be reversed, but the records streamed will be the same.

• 'start', 'end' legacy ranges - instead use 'gte', 'lte'

• 'reverse' (boolean, default: false): a boolean, set true and the stream output will be reversed. Beware that due to the way LevelDB works, a reverse seek will be slower than a forward seek.

• 'keys' (boolean, default: true): whether the 'data' event should contain keys. If set to true and 'values' set to false then 'data' events will simply be keys, rather than objects with a 'key' property. Used internally by the createKeyStream() method.

• 'values' (boolean, default: true): whether the 'data' event should contain values. If set to true and 'keys' set to false then 'data' events will simply be values, rather than objects with a 'value' property. Used internally by the createValueStream() method.

• 'limit' (number, default: -1): limit the number of results collected by this stream. This number represents a maximum number of results and may not be reached if you get to the end of the data first. A value of -1 means there is no limit. When reverse=true the highest keys will be returned instead of the lowest keys.

• 'fillCache' (boolean, default: false): whether LevelDB's LRU-cache should be filled with data read.

• 'keyEncoding' / 'valueEncoding' (string): the encoding applied to each read piece of data.

  ---

  FunctionName readWordToLevel

  • Return true
  • Description 将文件读入数据库
  • Param

  name	type	require	default	Description
  libPath	string	option	empty	文件地址
  type	string	option	'word'	词使用'word',提问回答使用'qa'

  ---

  FunctionName stringToLevel

  • Return true
  • Description 将字符串导入数据库
  • Param

  name	type	require	default	Description
  chunk	string	must	empty	要导入的字符串
  type	string	option	'word'	词使用'word',提问回答使用'qa'

  ---

  QuestionAnswer

  ---

  FunctionName getQuestionList

  • Return questionObject
  • Description 通过问句获取所有被碰撞中的问题和回答
  • Param

  name	type	require	default	Description
  questionQuery	string	must	empty	提问的语句

  ---

  FunctionName getAnswer

  • Return beQuestion
  • Description 通过问句获取最大可能的问题和回答
  • Param

  name	type	require	default	Description
  questionQuery	string	must	empty	提问的语句