Attention-based BiLSTM with positional embeddings for fake review detection
Abstract The proliferation of fake reviews has notably impacted consumer decision-making. However, due to the diversity and subtlety of fake reviews, traditional sequential models face challenges in capturing relative positional information and suffering from the loss of critical information of long...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-04-01
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| Series: | Journal of Big Data |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40537-025-01130-9 |
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