Patent ID: 11972218
Assignee: JINAN UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G  Y | IPC G

Claim 10:
11. The specific target-oriented social media tweet sentiment analysis method as claimed in claim 10, wherein the passing the attention representation matrix sequentially through a pooling layer, a fully connected layer and a softmax layer to obtain a sentiment tendency result of the specific target, comprises:
passing the attention representation matrix through the pooling layer, and obtaining an output result of the pooling layer by using a maximum pooling method;
inputting the output result of the pooling layer into the fully connected layer to obtain a score value of each sentiment;
inputting the score value of each the sentiment into the softmax layer for operation to obtain a probability value of each the sentiment; and
taking the sentiment with a maximum probability value as the sentiment tendency result of the specific target.