基于Django的中文关键词提取系统的设计与实现  

Design and Implementation of Chinese Keyword Extraction System Based on Django

作　　者：张少迪 郑炅[1,2] 艾山·吾买尔[1,2] 赵全军 ZHANG Shao-di;ZHENG Jiong;AIshan Wumaier;ZHAO Quan-jun(College of Information Science and Engineering,Xinjiang University,Urumqi 830046,China;Xinjiang Laboratory of MultiLanguage Information Technology,Xinjiang University,Urumqi 830046,China;Eight Information Engineering Departments,Sinosoft Company Limited,Beijing 100190,China)

机构地区：[1]新疆大学信息科学与工程学院,新疆乌鲁木齐830046 [2]新疆大学新疆多语种信息技术实验室,新疆乌鲁木齐830046 [3]中科软科技股份有限公司信息工程八部,北京100190

出　　处：《电脑知识与技术》2019年第5期220-222,共3页Computer Knowledge and Technology

基　　金：国家自然科学基金资助项目(No.61662077,61262060)

摘　　要：随着机器学习的不断兴起,python编程语言也逐渐的被更多人所知和使用,而Django作为由python编写的Web应用框架,也开始被更多的工程和项目所使用。但是随着互联网进程的不断推进,人们对于速度的要求也在逐渐加大,多线程的成为了各大企业和机构不可或缺的需要,而传统的Django在多线程上的拙劣表现也让人大失所望,因此,本系统采用了Django+uWSGI+Nginx的框架,很好的解决了多线程和高并发的问题,而且还拥有了负载均衡的功能,使得中文关键词提取系统的速度提升到了一个新的高度。With the rising of machine learning,python programming language is gradually known and used by more people,and Django,as a web application framework written by python,is also beginning to be used by more projects and projects.However,with the continuous advancement of the Internet process,people's demand for speed is also increasing.Multithreading has become an indispensable requirement for major enterprises and institutions.The poor performance of traditional Django on multithreading is also disappointing.Therefore,the system adopts the framework of Django+uWSGI+Nginx,which solves the problems of multithreading and high concurrency very well.With the function of load balancing,the speed of Chinese keyword extraction system has been raised to a new level.

关 键 词：PYTHON DJANGO 多线程 uWSGI NGINX 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]