Vietnamese Sentiment Classification

Vietnamese sentiment classification research aims to automatically determine the emotional tone expressed in Vietnamese text, focusing on improving accuracy and efficiency. Current efforts involve exploring various deep learning models, including those leveraging transfer learning from multiple pre-trained models and incorporating multimodal data (text and images) for more nuanced analysis. These advancements are driven by the need for better tools to analyze large volumes of Vietnamese online data, with applications ranging from market research to social media monitoring. The development of new benchmark datasets and the investigation of preprocessing steps like word segmentation are also crucial aspects of ongoing research.