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A Novel Automated Financial Transaction System Using Natural Language Processing

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The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019) (AMLTA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 921))

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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.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Durgapur, India

    Sachin Agarwal, Prasenjit Mukherjee, Baisakhi Chakraborty & Debashis Nandi

Authors
  1. Sachin Agarwal
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  2. Prasenjit Mukherjee
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  3. Baisakhi Chakraborty
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  4. Debashis Nandi
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Corresponding author

Correspondence to Sachin Agarwal .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Faculty of Computers and Information, Benha University, Benha, Egypt

    Ahmad Taher Azar

  3. School of Computing, Science and Engineering, University of Salford, Salford, Greater Manchester, UK

    Tarek Gaber

  4. Department of Computer Science and Engineering, School of Computing and IT, Faculty of Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India

    Roheet Bhatnagar

  5. Faculty of Computer and Information Science, Ain Shams University, Cairo, Egypt

    Mohamed F. Tolba

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Agarwal, S., Mukherjee, P., Chakraborty, B., Nandi, D. (2020). A Novel Automated Financial Transaction System Using Natural Language Processing. In: Hassanien, A., Azar, A., Gaber, T., Bhatnagar, R., F. Tolba, M. (eds) The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019). AMLTA 2019. Advances in Intelligent Systems and Computing, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-030-14118-9_54

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