Vietnamese Sentiment Analysis

Sentiment analysis of Vietnamese is a branch of natural language processing that focuses on identifying and extracting subjective information from Vietnamese text, such as sentiment orientation, emotional states, and attitude evaluations. Its goal is to classify the emotional content of large volumes of text data through automated means, thereby providing valuable insights to businesses and research institutions. This technology is widely used in social media monitoring, market research, customer service feedback analysis, and other fields, helping to improve decision-making efficiency and user experience.