Attention-based word-level contextual feature extraction and cross-modality fusion for sentiment analysis and emotion classification-Reference-Cited by-同舟云学术

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Attention-based word-level contextual feature extraction and cross-modality fusion for sentiment analysis and emotion classification

Published:2020 Issue:1 Volume:8 Page:1
ISSN:1758-8715
Container-title:International Journal of Intelligent Engineering Informatics
language:en
Short-container-title:IJIEI

Author:

Huddar Mahesh G.,Sannakki Sanjeev S.,Rajpurohit Vijay S.

Publisher

Inderscience Publishers

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-attention Fusion for Multimodal Sentiment Classification;Proceedings of 2024 ACM ICMR Workshop on Multimodal Video Retrieval;2024-06-10

2. Customer sentiment recognition in conversation based on bidirectional LSTM and self-attention mechanism;Journal of Intelligent & Fuzzy Systems;2024-02-14

3. A review of advancements in deep learning-based shadow detection and removal in image and video analysis;International Journal of Intelligent Engineering Informatics;2024

4. Semantic Alignment Network for Multi-Modal Emotion Recognition;IEEE Transactions on Circuits and Systems for Video Technology;2023-09

5. Weighted Randomn Forest Model for Significant Feature and Disease Progression Prediction;2022-10-14

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