A method for recognizing maturity date of bill of exchange in natural language by bill of exchange trading robot

Abstract

The invention discloses a method for recognizing maturity date of bill of exchange in natural language by bill of exchange trading robot, There are two main steps, namely date extraction and date cleaning, that is, after the natural language is converted into text messages in the chat records of the two parties, a string is extracted from the text message, First, it is determined whether there isa date-related keyword for the string, if there are relevant keyword, focusing on keywords, 10-odd character before and after that keyword are extracted for cleaning, the date is converted to a standard format while cleaning, Finally, it is stored in the corresponding storage format, waiting for other programs to be called, until all strings in the text message are processed, That is to say, through the full-coverage date processing of the text information of the chat record, the maturity date of the bill of exchange is accurately determined, so that the identification error and the actual maturity date of the bill are avoided, the economic losses and credit risks caused by the market brokers and investors are avoided, and the safety of the bill transaction is improved.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence natural language processing, and in particular relates to a method for identifying the due date of a bill in natural language by a bill trading robot applied to bank acceptance bill transactions in the financial industry. Background technique [0002] According to statistics from the Bureau of Statistics, 80% to 90% of the existing enterprises in my country are small and medium-sized enterprises. These enterprises are at the end of the supply chain, and some upstream enterprises will use drafts for payment. However, a money order of 1 million yuan may only be realized at about 950,000 yuan, and even some small and medium-sized enterprises' money orders cannot be circulated or activated at all. In the traditional transaction mode, both parties to the transaction generally conduct one-to-one inquiry through the phone or WeChat, which is slow, time-consuming and laborious, and it is di...

AI Technical Summary

Problems solved by technology

Since the calculation of the bill of exchange price calculation needs to calculate the number of days of interest accrual, it is very important to extract and identify the due date information of the bill of exchange involving natural language in the chat history. The chat records are used to identify the maturity date information, and then convert it into a standard format. By building a big data database consisting of the bill of exchange maturity date and transaction price, it provides inquiry and calculation functions for other trading parties. This process is time-consuming and laborious, and the efficiency is extremely low. , and there is a problem of low accuracy in manual processing. Once a recognition error occurs, the actual due date of the bill of exchange will be incorrectly determined, and the wrong discount amount will be provided when providing inquiry services to customers, which will give market brokers and investors Those who have greater economic losses and credit risks

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