Sentiment Analysis Research using IndoBERT
Conducted a sentiment analysis project on Indonesian social media data using IndoBERT. Responsibilities included data collection, text preprocessing, sentiment labeling and classification, model training, evaluation, and result analysis. Worked with hundreds of text records to identify sentiment patterns and compare public opinion across different time periods. Maintained data quality through cleaning, normalization, validation, and performance evaluation using standard classification metrics