Research Article

Aspect-Level Sentiment Analysis Based on Position Features Using Multilevel Interactive Bidirectional GRU and Attention Mechanism

Table 1

Component description of the proposed model.

NotationDescription

The th word in a context
The th word in a target term
Relative distance from the th word to a target term in a sentence
Concatenation of the th context and position embedding
Start position of a target term
End position of a target term
Embedding of the th context in a sentence
Embedding of the th target term in a sentence
First hidden layer vector formed from
First hidden layer vector formed from
Second hidden layer vector formed from
Second hidden layer vector formed from