Understanding talent flux - analysing job posts to understand economic activities

• Main Author: Woon, Jefferson Tian Loong
• Other Authors: Anwitaman Datta
• Format: Final Year Project
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering::Computer science and engineering::Information systems::Information interfaces and presentation; DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
• Online Access: http://hdl.handle.net/10356/74008
• Institution: Nanyang Technological University

Job hunting these days for job seekers can be a daunting task as millions of job postings show up online everyday on various sites and this process of looking for a job on various site together with having to do research on a specific industry (category) or knowing what qualification will land the job seeker a better chance at a job can be a lengthy process. This report will show a website which has a search engine integrated together with visualization statistics in order to allow a job seeker to be able to view on what are the popular and upcoming trends in the job market and not having to go through various hoops and loops in order to find out certain information. This is achieved by allowing the job seeker to search for jobs based on customized filters which they can select based on their preferences. Based on those preferences, they would be displayed with a list of job postings where they are able to directly view statistics of the job postings in different forms of charts and graphs which will display information about the current job trends which will hopefully help them make an informed choice based on the results of the statistics. There can be more research done into showing more advanced statistics which would be useful to the job seeker so that almost every aspect of a job seeker’s expectations could be covered.