Extracting Information From It Job Advertisements Using Text Mining Techniques

Abstract

Finding a suitable job requires a lot of time in searching the job advertisements in order to find just that job openings that fit certain skills. Usually the job advertisements are written like free text and they don't follow some specific structure or pattern and finding relevant information inside them is pretty difficult. Also if we want to analyze the job market so that we can uncover the needs of the industry probably we should go through the advertisements one by one and analyze them. This process can be facilitated by using some text mining techniques for extracting specific information. This will help jobseekers to find the employment that suits those best, job requirements they can cover and also help them to discover the job market needs so they can be profiled in that direction and acquire the necessary skills. Also, if we analyze a longer period of time, we can see how the needs of the labor market have changed over time, how the required competencies have changed, and maybe we can predict in which direction future requirements will be made. By using text mining methods for extracting specific information from the texts, job advertisements, we obtain just the major job requirements and skills. Also from the same texts we can extract additional information like experience needed for certain job or minimum wage for some job position. We are using jobs advertisements collected in period of 5 years in the field of IT industry. For fast growing industries, this kind of analysis is very important in order to follow the progress and needs of this industry. Our findings, in addition to showing us the trends in the labor market, can also be used by universities and other educational and training institutions for creating curriculums that the industry needs.