Research Interests
- Sentiment Analysis: Opinion mining, emotion detection, and social media analytics
- Data Warehousing: Large-scale data storage, ETL processes, and data architecture
- Business Intelligence: Data analytics for decision support and strategic planning
- Social Media Mining: Analysis of user-generated content and social network data
Research Bio
Dr. Priyatna’s research focuses on sentiment analysis and data warehousing technologies, particularly in the context of Indonesian language processing and social media analytics. His work contributes to understanding public opinion through computational approaches and developing efficient data management systems.
His expertise in sentiment analysis encompasses multiple domains including social media monitoring, customer feedback analysis, and opinion mining from textual data. Dr. Priyatna’s work in data warehousing involves designing and implementing scalable data storage solutions for analytics and business intelligence applications.
As a member of SENADA Lab, Dr. Priyatna contributes to projects that require both analytical depth in sentiment analysis and technical expertise in data management systems.