Classification of Transaction Behavior in Tax Invoices Using Compositional CNN-RNN Model
| Autor: | Hao Zhang, Yuanyuan Qiao, Jie Yang, Kewu Sun, Jianyang Yu |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Invoice
Database Computer science 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 02 engineering and technology 010306 general physics computer.software_genre 01 natural sciences computer Database transaction |
| Zdroj: | UbiComp/ISWC Adjunct |
| DOI: | 10.1145/3267305.3267597 |
| Popis: | Transaction behavior can be recorded by the invoice in China. The invoice records several fields including transaction content, transaction code (in accordance with the Tax Classification and Coding for Commodities and Services issued by the state) and transaction unit, etc. In this paper, we propose a compositional CNN-RNN model framework with attention mechanism to classify transaction behavior collected from tax invoices to the corresponding category based on the official transaction code, which is of great importance to tax supervision and provides a new perspective to analysis the industrial structure of the region. Preliminary experiments show that the overall accuracy of classifying transaction behavior achieves 75%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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