| In recent years,with the advancement of human society and the rapid development of the Internet industry,the amount of information in society is constantly accumulating and showing explosive growth.It can be said that the era of big data has come.At the same time,as an important way for companies to recruit talents,online recruitment is relatively cumbersome,consumes a lot of time,and has offline communication channels with narrow communication channels.Online recruitment has low costs,flexibility,pertinence,sufficient resources,and wide coverage.It is usually a source of information that contemporary college students need to pay close attention to when seeking a job.As the scale of online recruitment grows,a large number of recruitment websites appear,and the recruitment information contained in these websites also provides researchers with a large amount of data.Therefore,by analyzing the data of the recruitment website,you can explore the relevant enterprise units’ requirements for professional ability and talent demand,and at the same time provide a more objective reference for college students.The recruitment data visualization platform of this paper is mainly designed using Pythonbased Django framework.First,use the web crawler to crawl out the required information,and then store the collected data in the database.Secondly,preprocess the collected recruitment data,use word segmentation tool to segment the data,remove the stop words,and then extract the core words that belong to the characteristics of job demand,and analyze and research the recruitment data from multiple dimensions.There are many skilled words in job description.And the general dictionary is not very accurate in word segmentation when dealing with these skill keywords because the uncertainty of Chinese and the characteristics of computer posts.To some extent,it will affect the result of segmentation.Therefore,this paper constructs a special skill dictionary,references the online recruitment information and the hot words published by the authority,and loads the relevant professional terms into the jieba word segmentation tool in the way of custom dictionary,so as to improve the efficiency of text analysis.Finally,the graphical results of data analysis are displayed through the ECharts visualization framework,which can help users effectively understand data and discover patterns.This paper mainly selects lagou.com,51 job.com and zhaopin.com as the recruitment data collection sites.Taking the computer-related position as an example,this paper analyzes the distribution of the positions in different regions as well as the requirements of work experience,education and salary of different positions.Through the analysis of the data of different positions,we can clearly understand the specific requirements of the company for differentpositions,can provide a more objective reference standard for job seekers and can help them to understand the current computer industry demand for talent standards and salary situation more intuitively.Therefore,job seekers can make better career plans by using the recruitment website data visualization analysis platform.In addition,it can provide effectively assistant support for job seekers to avoid disconnection with the needs of the society and the company. |
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