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.
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