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

Claim 4:
5. The specific target-oriented social media tweet sentiment analysis method as claimed claim 4, before 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, further comprising:
constructing a bidirectional encoder representation from transformers (BERT) pre-training model of the target text, performing dimensionality reduction on the target text, and extracting vector representations containing semantic information, to obtain a unique vector corresponding to each word in the target text; and
fusing sentiment information codes of the target text into the target sentiment dictionary to obtain the target text word vectors, but for a word not in the target sentiment dictionary, taking an average value of sentiment information code as the target text word vector.