A method and an apparatus for artificial intelligence (AI) interview recognition, a computer device and a storage medium, relating to the field of AI-based semantic recognition. Said method comprises: acquiring text data; performing, sentence by sentence, vector segmentation on the text data, and determining at least one group of first text vectors and second text vectors corresponding to the first text vectors; importing the at least one group of the first text vectors and the second text vectors into a preset characterization model for processing, so as to obtain influence probability data of the several first text vectors and the second text vectors (S300); and ranking the influence probability data in a descending order from highest to lowest, and returning candidates corresponding to a preset number of pieces of top ranked influence probability data as a recognition result of an intelligent interview (S400), and storing the result in a blockchain network. Said method is able to effectively complete the recognition of an interview result, with high recognition precision.
METHOD AND APPARATUS FOR AI INTERVIEW RECOGNITION, COMPUTER DEVICE AND STORAGE MEDIUM