Financial text classification method and device based on prompt template and electronic equipment

Abstract

The invention discloses a financial text classification method and device based on a prompt template and electronic equipment, and the method comprises the steps: obtaining an original financial corpus, and converting the financial corpus into an MLM tag based on the prompt template; converting the MLM tag to generate an MLM tag training sample; constructing a pre-training model, inputting the MLM label training sample into the pre-training model, training the pre-training model, and generating a financial text classification model; and inputting financial text data to be identified into the financial text classification model to obtain a financial text classification result. According to the embodiment of the invention, the classification model can still achieve the generalization ability similar to that of a pre-training model under the condition that only a small amount of labeled data exists; the labeling amount is greatly reduced, and large-scale data dependence is reduced; and the financial text classification efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, and in particular, to a method, device and electronic device for classifying financial text based on a prompt template. Background technique [0002] In the financial field, it is necessary to classify and judge various texts. For example, inquiries about bond issuance prices, asking prices, etc., this type of text data is relatively messy and involves commercial secrets in the usual modeling process, so the amount of data collection is often insufficient, which brings many difficulties to classification modeling. The usual solution is to use data augmentation, but the difficulty of few-shot learning is still difficult to solve. [0003] Texts in the financial field, or the style of sample texts, are usually not easy to collect due to the confidentiality characteristics of the industry itself. General generalization methods, such as greetings, adjustment of affixes before and aft...

AI Technical Summary

Problems solved by technology

[0010] In view of the above deficiencies in the prior art, the present invention provides a financial text classification method, device and electronic equipment based on prompt templates, aiming to solve the financial text classification method in the prior art, which requires a large amount of prior knowledge In rare cases, the problem of poor data classification

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