User intention prediction method based on artificial intelligence, electronic device and storage medium

Abstract

The invention relates to the technical field of data processing. The invention provides a user intention prediction method based on artificial intelligence, an electronic device and a computer storagemedium, and the method comprises the steps: receiving a query statement inputted by a user, analyzing a plurality of keywords, inputting the keywords into a pre-trained recognition model, extractingsemantic features corresponding to the keywords, and carrying out the statistics of the number of the keywords; when the number of the keywords of the intention semantic features is zero, predicting the intention of the query statement according to a preset matching rule based on the number of the keywords corresponding to the semantic features of the conditions, the dimensions, the calculation method and the measurement, and finally, correcting the query statement according to the predicted intention to perform retrieval to obtain target data, and generating an expected graph and a data tablecorresponding to the query statement. According to the method, the query intention of the user is analyzed and predicted according to the query statement input by the user for retrieval, the obtainedretrieval data is displayed to the user in different graphic functions, it is ensured that the displayed graph meets the user requirement, and then the user experience is improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, and in particular to an artificial intelligence-based user intention prediction method, an electronic device, and a computer-readable storage medium. Background technique [0002] Many existing software have data query functions based on natural language. In order to help users better analyze data from multiple angles, the software displays the queried data to users with different graphical functions through data tables, such as line charts, histograms, pie charts, etc. Different query statements input by the user can output the corresponding data table displayed in graphics. [0003] However, users have the following disadvantages in the process of using the software to query: [0004] 1. Before the user enters the query statement, he needs to clarify in advance what kind of graphic display effect he wants, and the graphic display requirements that the user wants are often uncl...

AI Technical Summary

Problems solved by technology

[0004] 1. Before the user enters the query statement, he needs to clarify in advance what kind of graphic display effect he wants, and the graphic display requirements that the user wants are often unclear;

[0005] 2. The software fails to correctly parse the natural language input by the user, so that the displayed graphics may not meet the user's needs

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