Apirat Siritaratiwat
Biographic Data
| ID | 1849041 |
|---|---|
| NAME | Apirat Siritaratiwat |
| GIVEN NAMES | Apirat |
| FAMILY NAME | Siritaratiwat |
| SIGNATURE | SIRITARATIWAT A |
| AFFILIATIONS | Khon Kaen University |
| ORCID | 0000-0001-6568-4675 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Enhancing executive mathematics problem-solving through a constructivist digital learning platform
Recent international assessments have highlighted a global decline in mathematics performance, particularly among students in Thailand. This study aims to (1) design and evaluate a constructivist learning innovation model on a digital platform that promotes executive mathematics problem-solving and (2) develop and assess a prototype based on the designed model. A mixed-method research design was employed across two phases. Phase 1 involved design…
Enhancing creative learning in Thai classical dance education
Hidden emotional trends on social media regarding the Thailand-China high-speed railway project
Leveraging sentiment analysis on social media reveals hidden emotional trends by providing deep insights into the public’s collective opinions and feelings because social media can reflect most opinions based on true feelings. However, there is no time-series analysis of Thai opinions on social media regarding government projects in Thailand. Therefore, the focus of this research is to survey and dynamically analyze sentiment on social media plat…
Analyzing online public opinion on Thailand-China high-speed train and Laos-China railway mega-projects using advanced machine learning for sentiment analysis
Sentiment analysis is becoming a very popular research technique. It can effectively identify hidden emotional trends in social networks to understand people's opinions and feelings. This research therefore focuses on analyzing the sentiments of the public on the social media platform, YouTube, about the Thailand-China high-speed train project and the Laos-China Railway, a mega-project that is important to the country and a huge investment to dev…
Hidden emotional trends on social media regarding the Thailand-China high-speed railway project
Leveraging sentiment analysis on social media reveals hidden emotional trends by providing deep insights into the public’s collective opinions and feelings because social media can reflect most opinions based on true feelings. However, there is no time-series analysis of Thai opinions on social media regarding government projects in Thailand. Therefore, the focus of this research is to survey and dynamically analyze sentiment on social media plat…
Analyzing online public opinion on Thailand-China high-speed train and Laos-China railway mega-projects using advanced machine learning for sentiment analysis
Sentiment analysis is becoming a very popular research technique. It can effectively identify hidden emotional trends in social networks to understand people's opinions and feelings. This research therefore focuses on analyzing the sentiments of the public on the social media platform, YouTube, about the Thailand-China high-speed train project and the Laos-China Railway, a mega-project that is important to the country and a huge investment to dev…
Analyzing online public opinion on Thailand-China high-speed train and Laos-China railway mega-projects using advanced machine learning for sentiment analysis
Sentiment analysis is becoming a very popular research technique. It can effectively identify hidden emotional trends in social networks to understand people's opinions and feelings. This research therefore focuses on analyzing the sentiments of the public on the social media platform, YouTube, about the Thailand-China high-speed train project and the Laos-China Railway, a mega-project that is important to the country and a huge investment to dev…
Hidden emotional trends on social media regarding the Thailand-China high-speed railway project
Leveraging sentiment analysis on social media reveals hidden emotional trends by providing deep insights into the public’s collective opinions and feelings because social media can reflect most opinions based on true feelings. However, there is no time-series analysis of Thai opinions on social media regarding government projects in Thailand. Therefore, the focus of this research is to survey and dynamically analyze sentiment on social media plat…
Enhancing executive mathematics problem-solving through a constructivist digital learning platform
Recent international assessments have highlighted a global decline in mathematics performance, particularly among students in Thailand. This study aims to (1) design and evaluate a constructivist learning innovation model on a digital platform that promotes executive mathematics problem-solving and (2) develop and assess a prototype based on the designed model. A mixed-method research design was employed across two phases. Phase 1 involved design…
Enhancing creative learning in Thai classical dance education
Computer Science (3 works) · Artificial Intelligence (2 works) · China (2 works) · Data science (2 works) · Deep learning (2 works) · Psychology (2 works) · Sentiment Analysis and Opinion Mining (2 works) · Social media (2 works) · Topic Modeling (2 works) · World Wide Web (2 works)