Automatic Bill Payment using Natural Language Processing

Authors

  • Dhivya Prabha  Assistant Professor, Department of Computer science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India
  • Siva Shankar  Department of Computer science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India
  • Sowndararaj   Department of Computer science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India
  • Vignesh Kumar  Department of Computer science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India

DOI:

https://doi.org//10.32628/CSEIT195286

Keywords:

Natural Language Processing, Automation, Payment, Online Transaction.

Abstract

In the modern world, people receive various bills through post, sms, emails etc. They use cards, e-wallets and net banking to pay them in online. This manual process can be automated if the user wishes to pay selective or each bill he/she receives monthly. It is common that, most of the bills we receive nowadays are through sms and emails,with the help of Natural Language Processing , the message can be classified i.e whether the message is a bill or not. If the message is a bill, then there will be sufficient details to pay it, such as cost, user unique number, purpose of payment. From these details, the application can pay through online from the registered card details. A push notification is sent to the user regarding the transaction, whether it is successful or not. The details are completely stored in the cloud. The selected type of bills are stored in the app itself. Moreover the application is capable of paying others bill if the user wishes to pay.

References

  1. Introduction to Natural Language Processing - Mary Dee Harris
  2. Natural language processing with python - Edward Loper, Ewan Klein, and Steven Bird.
  3. Mastering Natural language processing with python - Deepti chopra,Nisheeth joshi, Iti mathur.
  4. https://web.stanford.edu/~jurafsky/slp3/
  5. Natural Language and Speech - Ewan Klein
  6. https://opennlp.apache.org/docs/1.9.1/manual/opennlp.html
  7. The Smart Card : Don’t leave home without it - Dirk Husemann, IBM Research Division, Zurich Research Laboratory
  8. Near Field Communication : It Pays - William Lumpkins and Martin Joyce
  9. Pay-cloak: A biometric back cover for smartphones - Alak Majumder, Joyeeta Goswami, Shirsha Ghosh, Rishu Shrivastawa, Saraju P. Mohanty, and Bidyut K. Bhattacharyya
  10. Swing-Pay: One card meets all user payment and identity needs- Shirsha Ghosh, Joyeeta Goswami, Alak Majumder, Abhishek Kumar, Saraju P. Mohanty,and Bidyut K. Bhattacharyya.
  11. https://www.javatpoint.com/nosql-databases
  12. Text Analytics with Python: A Practical Real-World Approach to Gaining Actionable Insights from Your Data - Dipanjan Sarkar
  13. Siamala Devi S, “Hybridization of K- Means and Harmony Search Based On Optimized Kernel Matrix and Unsupervised Constraints”, 2017, Asian Journal of Information Technology, vol 15, pp:4512-4521.

Downloads

Published

2019-04-30

Issue

Section

Research Articles

How to Cite

[1]
Dhivya Prabha, Siva Shankar, Sowndararaj ,Vignesh Kumar, " Automatic Bill Payment using Natural Language Processing, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.415-419, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT195286