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April 5, 20260 citationsOpen Access

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

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VBVladimir Beskorovainyi

Key Points

  • The aim is to automate the classification of citizen appeals using deep learning techniques.
  • Developed a microservice-based system for appeal classification.
  • Combined natural language processing with deep learning.
  • Utilized Word2Vec and LSTM architecture for analysis.
  • Evaluated on 10,000 real Russian-language appeals.
  • Achieved 78% accuracy, surpassing manual processing by 11 percentage points.
  • Reduced processing time by 54%.

Abstract

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%

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Cite This Study

Vladimir Beskorovainyi (2025) studied this question.

synapsesocial.com/papers/69d1fdf7a79560c99a0a4539https://doi.org/10.5281/zenodo.19393273
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