Visualization of job availability based on text analytics localization approach
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...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Universitas Ahmad Dahlan
2019
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/79906/ http://irep.iium.edu.my/79906/1/79906%20Visualization%20of%20job%20availability%20based.pdf http://irep.iium.edu.my/79906/2/79906%20Visualization%20of%20job%20availability%20based%20SCOPUS.pdf |
| _version_ | 1848788869996085248 |
|---|---|
| author | Mohamad Zamani, Nur Azmina Kamaruddin, Norhaslinda Rahman, Abdul Wahab Saat, Nur Shahana , |
| author_facet | Mohamad Zamani, Nur Azmina Kamaruddin, Norhaslinda Rahman, Abdul Wahab Saat, Nur Shahana , |
| author_sort | Mohamad Zamani, Nur Azmina |
| building | IIUM Repository |
| collection | Online Access |
| description | 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 |
| first_indexed | 2025-11-14T17:47:41Z |
| format | Article |
| id | iium-79906 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:47:41Z |
| publishDate | 2019 |
| publisher | Universitas Ahmad Dahlan |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-799062020-03-27T08:33:05Z http://irep.iium.edu.my/79906/ Visualization of job availability based on text analytics localization approach Mohamad Zamani, Nur Azmina Kamaruddin, Norhaslinda Rahman, Abdul Wahab Saat, Nur Shahana , T10.5 Communication of technical information 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 Universitas Ahmad Dahlan 2019-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/79906/1/79906%20Visualization%20of%20job%20availability%20based.pdf application/pdf en http://irep.iium.edu.my/79906/2/79906%20Visualization%20of%20job%20availability%20based%20SCOPUS.pdf 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 http://ijeecs.iaescore.com/index.php/IJEECS/article/view/19982/13103 10.11591/ijeecs.v16.i2.pp744-751 |
| spellingShingle | T10.5 Communication of technical information Mohamad Zamani, Nur Azmina Kamaruddin, Norhaslinda Rahman, Abdul Wahab Saat, Nur Shahana , Visualization of job availability based on text analytics localization approach |
| title | Visualization of job availability based on text analytics localization approach |
| title_full | Visualization of job availability based on text analytics localization approach |
| title_fullStr | Visualization of job availability based on text analytics localization approach |
| title_full_unstemmed | Visualization of job availability based on text analytics localization approach |
| title_short | Visualization of job availability based on text analytics localization approach |
| title_sort | visualization of job availability based on text analytics localization approach |
| topic | T10.5 Communication of technical information |
| url | http://irep.iium.edu.my/79906/ http://irep.iium.edu.my/79906/ http://irep.iium.edu.my/79906/ http://irep.iium.edu.my/79906/1/79906%20Visualization%20of%20job%20availability%20based.pdf http://irep.iium.edu.my/79906/2/79906%20Visualization%20of%20job%20availability%20based%20SCOPUS.pdf |