Salini, Yalamanchili and Eswaraiah, Poluru and Brahmam, M. Veera and Sirisha, Uddagiri (2023) Word Embedding for Text Classification: Efficient CNN and Bi-GRU Fusion Multi Attention Mechanism. EAI Endorsed Transactions on Scalable Information Systems.
56507.pdf
Download (1MB)
Abstract
The proposed methodology for the task of text classification involves the utilization of a deep learning algorithm that integrates the characteristics of a fusion model. The present model is comprised of several attention-based Convolutional Neural Networks (CNNs) and Gate Recurrent Units (GRUs) tha
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 16:43 |
| Last Modified: | 11 Apr 2026 06:26 |
| URI: | http://eprints.eai.eu/id/eprint/45056 |
