International Journal of Industrial Research and Applied Engineering
Vol 5, No 1: APRIL 2020

Improving Data Extraction System to Parse Data from Scraped Job Advertisements

Claudia Nathasia Jason (Petra Christian University)

Article Info

Publish Date
26 Aug 2021

Abstract

Extracting the information from an online job advertisement might be a little tricky. The information is wrapped with redundant information, called boilerplate, that is not related to the job at all. The information also needs to be segmented and classified into the right class or groups. After the information has been classified, it is easier to find the features (e.g., required skills and required education) that make the later processing faster.

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Journal Info
International Journal of Industrial Research and Applied Engineering
Website

Abbrev

jirae

Publisher

Universitas Kristen Petra Surabaya

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

Description

JIRAE is a peer-reviewed international journal providing a medium for the academic and industrial community to share cutting-edge research and development in various aspects of industrial technology and applied engineering. The objectives are: to encourage research work in the field of industrial ...