The Visualization and Analysis of the Online Postings of Information Technology Jobs

Abstract

Nowadays, gaining a substantial knowledge of the current job trends before obtaining a specialization in a certain field can be essentially important. Knowledge of the current job trends will help prepare the students before getting employed in different fields in the industry by training them with the correct and latest technologies that are required to do their jobs. This study aims to determine the most frequent and popular Information Technology job titles that can help prepare the future workforce. The data is analyzed from the job postings dataset through the KNIME miner, and then documents are created using Part-Of-Speech (POS) tagging through the Stanford Tagger. The documents are then preprocessed, and the most frequent and popular jobs are visualized using the Tag Cloud. The results showed the twelve most frequent and in-demand Information Technology job titles.