Persian Tweet

Research on Persian tweets focuses on leveraging social media data to understand public opinion and behavior in Iran. Current studies employ various machine learning techniques, including deep learning models like CNN-LSTM and transformer-based architectures, along with traditional methods like Naive Bayes, to analyze sentiment, identify key themes (e.g., political opinions, vaccination attitudes, gender equality stances), and detect emerging entities. This work is significant for its contribution to natural language processing in low-resource languages like Persian and its potential applications in public health surveillance, political analysis, and understanding social dynamics within Iran.