Social Medium Sentiment

Social media sentiment analysis aims to automatically determine the emotional tone expressed in online text, primarily to understand public opinion and its influence on various domains. Current research focuses on improving the accuracy and granularity of sentiment detection using advanced techniques like transformer-based models and lexicon-based approaches, often incorporating multimodal data (images, videos) to capture richer contextual information. This field is significant for its applications in market prediction, brand monitoring, public health surveillance, and understanding societal responses to events, offering valuable insights across diverse sectors.