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Contact No. |
: |
- |
Gender |
: |
FEMALE |
Nationality |
: |
MALAYSIA |
Current Positon |
: |
DS51-A-PENSYARAH UNIVERSITI |
E-Mail |
: |
nsyafiqahmnafis@ump.edu.my |
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ACADEMIC QUALIFICATION |
. 2023 |
: IJAZAH KEDOKTORAN (DOCTORAL DEGREE), UMP
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. 2016 |
: IJAZAH SARJANA (MASTERS DEGREE), UNIZA
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. 2012 |
: IJAZAH SARJANA MUDA (BACHELOR DEGREE), UNIZA
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. 2008 |
: MATRICULATION, KOLEJ MATRIKULASI PAHANG
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. 2006 |
: SPM DAN SETARAF, MRSM BESUT
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EXPERTISE |
EXPERT AREA |
MAJOR |
YEARS OF EXPERTISE |
LEVEL |
DATA MINING |
CLASSIFICATION |
7 |
SANGAT TINGGI |
DATA MINING |
MACHINE LEARNING |
7 |
TINGGI |
OTHER INFORMATION, COMPUTER AND COMMUNICATION TECHNOLOGY (ICT) N.E.C. |
TEXT ANALYSIS |
5 |
TINGGI |
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EMPLOYMENT HISTORY |
EMPLOYER |
POST |
JOIN DATE |
RESIGN DATE |
STATUS |
Csc Malaysia Sdn.Bhd |
PROGRAMMER ANALYST |
01/08/2012 |
28/02/2014 |
TETAP |
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RESEARCH |
NO. |
TITLE |
ROLE |
START DATE |
END DATE |
STATUS |
1. |
IMPROVING SENTIMENT CLASSIFICATION FOR BURNOUT EMPLOYEES USING RECURSIVE FEATURE ELIMINATION (RFE) AND DEEP LEARNING AS FEATURE SELECTION USING SOCIAL MEDIA POST (UIC241511) |
Leader |
22-APR-2024 |
21-APR-2025 |
Sedang Berjalan |
2. |
NON-PREDICTIVE MEASURE FEATURE SELECTION TECHNIQUE USING TF-IDF AND THRESHOLDING FOR BURNOUT EMPLOYEE CLASSIFICATION. |
Leader |
25-DEC-2023 |
24-DEC-2025 |
Sedang Berjalan |
3. |
PREDICTING SUICIDAL IDEATION FROM SOCIAL MEDIA CONTENT AMONG ONLINE COMMUNITIES USING DEEP LEARNING MODEL |
Member |
01-NOV-2023 |
31-OCT-2025 |
Sedang Berjalan |
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PUBLICATION |
TYPE |
PUBLICATION |
TARIKH PENERBITAN |
TYPE OF CONTRIBUTION |
REFEREED PUBLICATION |
JOURNAL |
An enhanced hybrid feature selection
technique using term frequency-inverse document frequency and support vector
machine-recursive feature elimination for sentiment classification. I |
20/10/2021 |
90 |
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