A semantic analysis method, semantic analysis and non-transitory computer-readable medium are provided in this disclosure. The semantic analysis method includes the following operations: inputting a voice and recognizing the voice to generate an input sentence, wherein the input sentence includes a plurality of vocabularies; selecting at least one key vocabulary from the vocabularies according to a word property corresponding to each vocabulary; establishing a parse tree according to the input sentence and finding a plurality of associated sub-sentences; calculating an associated feature vector between the associated sub-sentences; concatenating the associated feature vector and the vocabulary vector corresponding to each vocabulary to generate a vocabulary feature vector corresponding to each vocabulary; and analyzing the vocabulary feature vector to generate an analysis result by a semantic analysis model, wherein the analysis result includes a slot type corresponding to each vocabulary and an intent corresponding to the input sentence.
Semantic analysis method, semantic analysis system and non-transitory computer-readable medium