Anti-fraud method, system and device based on natural language processing technology and storage medium

The invention discloses an anti-fraud method, system and device based on a natural language processing technology and a storage medium, and the method comprises the steps: obtaining sample data needed by processing from a financial anti-fraud transfer transaction data set, and carrying out the tagging processing; analyzing the transfer remark information of each piece of transaction data, and processing the transfer remark information; user association features required by each sample are analyzed, a target sample data set is established in combination with a transfer remark information processing result and a sample labeling processing result, and a neural network is trained after preprocessing; deploying the trained neural network to an online anti-fraud decision server; and during online decision making, performing anti-fraud transfer transaction decision making by fusing the user associated feature information, and returning an anti-fraud transaction decision making result. According to the method, the op