Shuzlina Abdul-Rahman
Biographic Data
| ID | 6955002 |
|---|---|
| NAME | Shuzlina Abdul-Rahman |
| GIVEN NAMES | Shuzlina |
| FAMILY NAME | Abdul-Rahman |
| SIGNATURE | ABDUL-RAHMAN S |
| AFFILIATIONS | Universiti Teknologi MARA |
| ORCID | 0000-0002-5498-9606 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Indonesian Public Sentiment on Disasters
This study analyzes Indonesian public responses to natural disasters using Twitter data through Topic Modeling (LDA) and Sentiment Analysis. The process includes data collection, preprocessing, modeling, and sentiment classification. Tweets with the keyword “bencana” were scraped and prepared for analysis. LDA revealed 15 main topics covering disaster causes, impacts, responses, and resilience. Sentiments were categorized as positive, neutral, or…
Enhancing churn forecasting with sentiment analysis of steam reviews
No prominent works on this page.
Enhancing churn forecasting with sentiment analysis of steam reviews
Indonesian Public Sentiment on Disasters
This study analyzes Indonesian public responses to natural disasters using Twitter data through Topic Modeling (LDA) and Sentiment Analysis. The process includes data collection, preprocessing, modeling, and sentiment classification. Tweets with the keyword “bencana” were scraped and prepared for analysis. LDA revealed 15 main topics covering disaster causes, impacts, responses, and resilience. Sentiments were categorized as positive, neutral, or…
Computer Science (2 works) · Data science (2 works) · Sentiment analysis (2 works) · Artificial Intelligence (1 work) · Big Data and Business Intelligence (1 work) · Customer churn and segmentation (1 work) · Forecasting Techniques and Applications (1 work) · Indonesian (1 work) · Linguistics (1 work) · Machine learning (1 work)