nlp's Introduction

旅游路线自动规划

Part3:（Genetic Algorithm） and some NLP algorithm

Source code:

https://github.com/yinchuandong/Traveljsp		(Search Engine)
https://github.com/yinchuandong/Crawler  		(Theme Crawler)
https://github.com/chuandongjiewen/NLP	  	(Genetic Algorithm)

Introduction:

Implement automation of travel route planning and personalization of service by data mining technologies

Tasks:

Theme Crawler/Keyword Auto-suggestion/Travel Routes Auto-planning

Functions:

1.	Implement vertical search engine of sceneries and cities
2.	Implement travel route auto-planning

Technologies:

1.	Implement multi-thread and distributed theme crawler for JSON file by Java
2.	Implement keyword auto-suggestion by Trie Tree
3.	Implement vertical search engine by Lucene framework
4.	Implement travel route auto-planning by Greedy Algorithm and Genetic Algorithm
5.	Implement data exchange of JSP, PHP and JavaScript

目录结构树

|—— dict 分词算法的词库目录
|—— gadata 遗传算法的数据目录
|—— src java文件

java包结构

|—— GA 遗传算法
|  |—— City.java 城市的模型
|  |—— CityGa.java 对城市进行ga运算
|  |—— Ga.java ga算法的demo
|  |—— Hotel.java 酒店的Model
|  |—— HotelHelper.java 从文本中读取hotel
|  |—— MyGa.java 对酒店进行ga运算
|—— Hmm 隐马尔科夫分词
|  |—— EmissionHelper.java 发射概率
|  |—— TransitionHelper.java 转移概率
|  |—— InitHelper.java 初始化
|  |—— PosModel 位置的模型
|—— ParsingCFG (Context Free Grammar)上下文无关算法，生成语法树
|—— ParsingPCFG (Probabilistic Context Free Grammar)概率上下文无关算法，生成语法树
|—— Regex 正则表达式

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