Mohamad Zamani, Nur Azmina and Kamaruddin, Norhaslinda and Rahman, Abdul Wahab and Saat, Nur Shahana and UNSPECIFIED (2019) Visualization of job availability based on text analytics localization approach. Indonesian Journal of Electrical Engineering and Computer Science, 16 (2). pp. 744-751. ISSN 2502-4752, E-ISSN 2502-4760
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Abstract
Rate of employment is a strong indicator of economic stability that relates to the services and products. One of the main factors that contributes to low rate employment is the mismatch between job seeker and the job requirement due to the limited analysis performed on the job advertisement. The obscure job descriptions may result in application of unsuitable candidates that can cause candidate rejection and time consuming. In this paper we proposed a text analytics technique to extract users’ comments from social media on job advertisement. The result is then displayed in a geotagged map that can reveal the density of job availability based on geographical location. The job seekers can easily observe and select their desired job location. The initial system shows potential of the inclusion of the proposed approach in job advertisement websites. In comparison to other job searching websites, this system can provide additional information on public view about the advertised job obtained from the social media text analytics. It is hoped that the proposed system can tailor the job advertisements to the need of the jobseeker and making the job application more relevant hence reducing the potential employers’ processing time
Item Type: | Article (Journal) |
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Additional Information: | 6145/79906 |
Uncontrolled Keywords: | Job searching, Job seekers’ sentiment, Localization, Text analytics, Visualization |
Subjects: | T Technology > T Technology (General) > T10.5 Communication of technical information |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology |
Depositing User: | Prof Abdul Wahab Abdul Rahman |
Date Deposited: | 27 Mar 2020 16:31 |
Last Modified: | 27 Mar 2020 16:33 |
URI: | http://irep.iium.edu.my/id/eprint/79906 |
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