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🧠 AI🟢 BullishImportance 4/10
AI Appeals Processor: A Deep Learning Approach to Automated Classification of Citizen Appeals in Government Services
🤖AI Summary
Researchers developed an AI Appeals Processor that uses deep learning to automatically classify government citizen appeals, achieving 78% accuracy with Word2Vec+LSTM architecture. The system reduces processing time by 54% compared to traditional manual processing that averages 20 minutes per appeal with only 67% accuracy.
Key Takeaways
- →Government agencies struggle with manual appeal processing that takes 20 minutes per case with 67% accuracy.
- →The AI system tested multiple approaches including SVM, fastText, LSTM, and BERT on 10,000 real citizen appeals.
- →Word2Vec+LSTM architecture provided the best balance of 78% accuracy and computational efficiency.
- →Processing time was reduced by 54% compared to traditional manual methods.
- →The system handles three primary categories (complaints, applications, proposals) across seven thematic domains.
Read Original →via arXiv – CS AI
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