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.
| Notation | Description |
| | 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 |
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