Word Embedding for Text Classification: Efficient CNN and Bi-GRU Fusion Multi Attention Mechanism

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.

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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

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