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A Novel Automated Financial Transaction System Using Natural Language Processing

  • Sachin AgarwalEmail author
  • Prasenjit Mukherjee
  • Baisakhi Chakraborty
  • Debashis Nandi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 921)

Abstract

This paper proposes an automated financial transaction system (AFTS) that accepts a natural language transaction from a user in a query-response model that will be automatically converted to corresponding journal and ledger entries. This model uses the POS tags assigned to each token in a transaction to determine the name of account associated with the transaction and insert them in semantic table. The Journal and ledger entries will be produced from the semantic table. The type of transaction means debit or credit detection is dependent on relationship attributes in the semantic table. The proposed system generates journal and ledger entries from natural language transaction text in automated way. The proposed model uses a well-organized database to store keywords that helps to determine the account name and the type of transaction in time of semantic analysis.

Keywords

AFTS Financial Transaction System Natural language query Query-Response Model Automated accounting 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Sachin Agarwal
    • 1
    Email author
  • Prasenjit Mukherjee
    • 1
  • Baisakhi Chakraborty
    • 1
  • Debashis Nandi
    • 1
  1. 1.Department of Computer Science and EngineeringNational Institute of TechnologyDurgapurIndia

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