Patent ID: 11941363
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. The method according to claim 1, wherein the encoding the sub-data comprises:
encoding the sub-data in the source data through a deep transition encoder based on the target word feature vector to obtain the hidden feature vectors corresponding to the sub-data, the deep transition encoder including a sentiment-related gated unit, or including the sentiment-related gated unit cascaded with a transition gated unit of a preset depth level; and
the obtaining the word feature vector comprises:
obtaining the word feature vector corresponding to the source data in a maximum pooling layer based on the hidden feature vectors corresponding to the sub-data, an input of the maximum pooling layer being connected to the deep transition encoder, and an output of the maximum pooling layer being connected to the preset sentiment classification network.