Method and device for classifying questions based on artificial intelligence

A device for classifying questions based on artificial intelligence, comprising:

• a processor;
• a memory, configured to store instructions executable by the processor;
• wherein the processor is configured to:
• acquire text content of a question input by a user;
• perform a word segmentation process on the text content to obtain a plurality of segmentations;
• acquire hidden representation vectors of the plurality of segmentations;
• generate a first vector of the text content according to the hidden representation vectors;
• determine a target responder corresponding to the question from a number M of preset responders according to the first vector and a preset classification model, wherein the number M of preset responders are robots, each designed to automatically respond to different classifications of questions, where M is a positive integer;
• and
• appoint the target responder to the user;
• wherein the processor is configured to determine a target responder corresponding to the question from a number M of preset responders according to the first vector and a preset classification model by acts of:
• converting, by the processor, the first vector into a second vector according to the number M, wherein a length of the second vector is M;
• converting, by the processor, the second vector into M probabilities by the preset classification model;
• determining, by the processor, a maximum probability among the M probabilities;
• and
• selecting, by the processor, a responder corresponding to the maximum probability as the target responder from the preset responders according to the maximum probability.

A non-transitory computer readable storage medium, with a computer program stored, wherein the computer program is executed by a processor to achieve a method for classifying questions based on artificial intelligence, and the method comprises:

• acquiring text content of a question input by a user;
• performing a word segmentation process on the text content to obtain a plurality of segmentations;
• acquiring hidden representation vectors of the plurality of segmentations;
• generating a first vector of the text content according to the hidden representation vectors;
• determining a target responder from a number M of preset responders corresponding to the question according to the first vector and a preset classification model, wherein the number M of preset responders are robots, each designed to automatically respond to different classifications of questions, where M is a positive integer;
• and
• appointing the target responder to the user;
• wherein determining a target responder corresponding to the question from a number M of preset responders according to the first vector and a preset classification model comprises:
• converting, by the processor, the first vector into a second vector according to the number M, wherein a length of the second vector is M;
• converting, by the processor, the second vector into M probabilities by the preset classification model;
• determining, by the processor, a maximum probability among the M probabilities;
• and
• selecting, by the processor, a responder corresponding to the maximum probability as the target responder from the preset responders according to the maximum probability.