An efficient multiple-word embedding-based cross-domain feature extraction and aspect sentiment classification
As the size of the feature space and data size increases, it is difficult to find the essential key features for cross-domain classification problems. Traditional word embedding and feature selection models use limited-sized data and dimensions for feature ranking and classification processes. To ov...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-08-01
|
| Series: | Measurement: Sensors |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917423001873 |