"基于Python Django的旅游城市信息检索与展示系统研究"。

基于python Django旅游城市关键词分析源码数据库论文.docx是一篇关于利用Python Django技术开发的旅游城市关键词分析系统的论文。随着计算机技术的快速发展和大数据信息量的增长，网络中的信息变得臃肿，有价值的信息密度相对偏低，信息拥堵时常出现。如何在海量信息中找到有价值的信息成为各大互联网企业研究的重点。除了利用爬虫技术外，通过自然语言、预料库、知识图谱等方式进行相关的知识归类、标记以及存储，以方便人们在需要时进行信息搜集。本设计以旅游城市为研究目标，开发了一款用户只需输入城市名称即可查看该城市的旅游景点、美食情况等信息的系统。通过Python技术实现了不同旅游城市的旅游资源图谱展示，方便人们对各大旅游城市的受欢迎程度、旅游资源丰富程度等进行对比。该系统采用B/S结构，能够快速实现整体开发，并且在关键词搜索上能够实现非常快速的搜索效果。 Abstract The current level of computer development is very fast, and faced with the increasing amount of big data, the information on the internet becomes very cumbersome and the density of valuable information is relatively low. It is very difficult to find the information one wants among a large amount of information, and information congestion often occurs. How to find effective and valuable information in the massive amount of information is the research direction of major Internet-based enterprises. In addition to using web crawling technology, it is also essential to classify, tag, and store related knowledge through natural language, corpus, knowledge graph, etc., to facilitate people to collect information when needed. This design is to focus on the tourist cities, and developed a system that allows users to view the tourist attractions, food and other information of the city just by entering the city name. By utilizing Python technology, the system can demonstrate the tourism resources of different tourist cities, facilitating people to compare the popularity and richness of tourism resources of various tourist cities. The system is built using the B/S structure, which enables rapid and effective overall development, and also achieves very fast search results in keyword searches. Keywords: tourist city; keyword; Python