Self-Supervised Learning for Sentiment Analysis via Image-Text Matching-Reference-Cited by-同舟云学术

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Self-Supervised Learning for Sentiment Analysis via Image-Text Matching

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Zhu Haidong¹,Zheng Zhaoheng¹,Soleymani Mohammad¹,Nevatia Ram¹

Affiliation:

1. University of Southern California

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09747819.pdf?arnumber=9747819

Reference25 articles.

1. Tensor Fusion Network for Multimodal Sentiment Analysis

2. An automl-based approach to multi-modal image sentiment analysis;lopes,2021

3. Long Short-Term Memory

4. Learning dual semantic relations with graph attention for image-text matching;wen;TCSVT,2020

5. Similarity reasoning and filtration for image-text matching;diao,2021

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1. Modality-Dependent Sentiments Exploring for Multi-Modal Sentiment Classification;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Semantic-specific multimodal relation learning for sentiment analysis;Neural Computing and Applications;2024-03-27

3. Collaborative fine-grained interaction learning for image–text sentiment analysis;Knowledge-Based Systems;2023-11

4. Few-shot Multimodal Sentiment Analysis Based on Multimodal Probabilistic Fusion Prompts;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

5. Enhancing Sentence Representation with Visually-supervised Multimodal Pre-training;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

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