AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government Services
The AI Appeals Processor is a microservice system using natural language processing and deep learning to automatically classify citizen appeals. It uses a Word2Vec+LSTM model, achieving 78% classification accuracy and reducing processing time by 54%. This means the system can speed up the handling of government appeals significantly compared to manual methods.