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Text similarity algorithms to determine Indian penal code sections for offence report

Srivastav, AmbrishPrajapat, Shaligram
IAES International Journal of Artificial Intelligence (IJ-AI) (Sinta 1)Vol. 0 No. 01 Maret 2022
DOI10.11591/ijai.v11.i1.pp34-40

Abstrak

Taking decisions by comparing two text documents is a new innovative idea. Text documents contain details, rules and information related to a domain. The judiciary system is an area where many textual documents are available. In some documents, rules related to the judiciary are mentioned, such as the Indian penal code (IPC) section documents and other documents like first information report (FIR), and Investigation report. contain details of incidents. Our assumption is that the system can help in making the decision by finding the right IPC Section from the result of text similarity between IPC section document and FIR, investigation report. In this research paper, we preface a new research problem to make decisions to suggest appropriate IPC Section for crime related information from user’s input by using vector space model and natural language processing techniques.

Kata Kunci

Decision support systemInformation retrieval systemLaw information systemNatural language processingText similarityVector space model

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Text similarity algorithms to determine Indian penal code sections for offence report | IAES International Journal of Artificial Intelligence (IJ-AI) | Publiora