Interview answer text classification method and device, electronic equipment and storage medium

Abstract

The invention relates to the technical field of artificial intelligence, and particularly discloses an interview answer text classification method and device, and the method comprises the steps: obtaining an interview answer text of an interviewer, and obtaining the interview answer text according to the reply of the interviewer to an interview question in an interview; constructing a semantic vector of the interview answer text through a feature extraction layer of the constructed classification model; through each full connection layer of the classification model, making full connection according to the semantic vector, acquiring a feature vector correspondingly wherein the feature vector obtained on the full connection layer is used for representing the feature of the sample answer texton the corresponding set capability item of the full connection layer; and carrying out classification prediction on the feature vectors obtained in each full connection layer, and respectively obtaining score levels of the interviewer on each set ability item. Therefore, automatic expansion of the dictionary is realized, and the classification rate of the interview answer text is improved. Therefore, automatic interview evaluation on the interviewer is realized.

Description

technical field [0001] The present disclosure relates to the technical field of artificial intelligence, and in particular to a method and device for classifying interview answer texts, electronic equipment, and a computer-readable storage medium. Background technique [0002] For the interview, it is necessary to evaluate the interviewer's ability on multiple set ability items according to the interviewer's reply to the questions, that is, to determine the interviewer's scoring level on each set ability item. [0003] In the prior art, the interviewer generally interviews the interviewer, and then the interviewer evaluates the interviewer's abilities in various aspects according to the interviewer's answer corpus during the interview. Since the interviewer determines the interviewer's scoring level on each set ability item according to the interviewer's answer corpus, there is a problem of low efficiency. [0004] It can be seen from the above that there is a need for a me...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of low interview evaluation efficiency caused by interviewers in the prior art, embodiments of the present disclosure provide a method and device for classifying interview answer texts, electronic equipment, and a computer-readable storage medium. Automate interview assessment

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