AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government Services

This paper presents AI Appeals Processor, a microservice-based system integrating NLP and deep learning for automated classification of citizen appeals in government services. Evaluated on 10,000 real Russian-language appeals, the Word2Vec+LSTM architecture achieves 78% accuracy (+11pp over manual baseline) while reducing processing time by 54%