A Sparse Self-Attention Enhanced Model for Aspect-Level Sentiment Classification

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: A Sparse Self-Attention Enhanced Model for Aspect-Level Sentiment Classification ; volume:56 ; number:2 ; day:16 ; month:2 ; year:2024 ; pages:1-21 ; date:4.2024
Neural processing letters ; 56, Heft 2 (16.2.2024), 1-21, 4.2024

Creator: Dhanith, P. R. Joe
Surendiran, B.
Rohith, G.
Kanmani, Sujithra R.
Devi, K. Valli

Contributor: SpringerLink (Online service)

DOI: 10.1007/s11063-024-11513-3

URN: urn:nbn:de:101:1-2404240838234.431432113862

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:45 AM CEST

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Dhanith, P. R. Joe
Surendiran, B.
Rohith, G.
Kanmani, Sujithra R.
Devi, K. Valli
SpringerLink (Online service)

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A Sparse Self-Attention Enhanced Model for Aspect-Level Sentiment Classification

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Other Objects (12)

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Region-based convolutional neural network using group sparse regularization for image sentiment classification

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Dual syntax aware graph attention networks with prompt for aspect-based sentiment analysis

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Attention-based Sentiment Reasoner for aspect-based sentiment analysis

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Interactive Attention-Based Convolutional GRU for Aspect Level Sentiment Analysis

Aspect-level multimodal sentiment analysis based on co-attention fusion

Region-based convolutional neural network using group sparse regularization for image sentiment classification

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Dual syntax aware graph attention networks with prompt for aspect-based sentiment analysis

Sentiment Classification Using Negative and Intensive Sentiment Supplement Information

Sparse classification with paired covariates

Radar target classification via sparse decomposition

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Interactive Attention-Based Convolutional GRU for Aspect Level Sentiment Analysis

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