A text analysis method and apparatus, a computer apparatus and a storage medium, which belong to the technical field of artificial intelligence. The text analysis method comprises: acquiring a text to be analyzed (101); converting each word of the text to be analyzed into a word vector (102); inputting the word vector into a bidirectional long-short-term memory recurrent neural network in an emotion recognition model to obtain a feature vector of each word of the text to be analyzed (103); calculating the weight of the feature vector (104); multiplying the feature vector by the corresponding weight to obtain a feature vector subjected to weight adjustment (105); and inputting the feature vector subjected to weight adjustment into a full connection layer in the emotion recognition model to obtain an emotion category of the text to be analyzed (106). The method improves the efficiency and accuracy of text emotion classification.
TEXT ANALYSIS METHOD AND APPARATUS, COMPUTER APPARATUS AND COMPUTER STORAGE MEDIUM