期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：1
页码：195
DOI：10.15680/IJIRCCE.2017.0601030
出版社：S&S Publications
摘要：Data Mining using text analysis is an emerging research area which helps to discover patterns inunstructured text.Text mining can help derive valuable insightful relations from text-based content to a structuredformat for further analysis.In Ghana, one key focus of any Government is not just the creation of jobs but how to createjobs to cover a wide range of graduates from different subject areas. This job creation agenda in the 21st century needsan analytical approach through the discovery of hidden information. The relevance of this research is to deploy a TextMining algorithm on job search data obtained from online job aggregators and to determine the most searchedkeywords from the unstructured text to better understand the graduate unemployment issue. This study uses the processof text summarization with five key text mining extensionsin RapidMinerto predict sectors that Government andAcademia can focus on in the job creation strategy.
