On the use of Vision-Language models for Visual Sentiment Analysis: a study on CLIP-Reference-Cited by-同舟云学术

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On the use of Vision-Language models for Visual Sentiment Analysis: a study on CLIP

Published:2023-09-10 Issue: Volume:3015 Page:1-8
ISSN:
Container-title:2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII)
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Author:

Bustos Cristina¹,Civit Carles¹,Du Brian¹,Solé-Ribalta Albert¹,Lapedriza Agata¹

Affiliation:

1. Universitat Oberta de Catalunya,Barcelona,Spain

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10388070/10388074/10388075.pdf?arnumber=10388075

Reference34 articles.

1. Visual-Textual Sentiment Analysis in Product Reviews

2. Deep Multimodal Learning for Affective Analysis and Retrieval

3. From Mining Affective States to Mining Facial Keypoint Data: The Quest Towards Personalized Feedback

4. A Multitask Framework for Sentiment, Emotion and Sarcasm aware Cyberbullying Detection from Multi-modal Code-Mixed Memes

5. Findings of memotion 2: Sentiment and emotion analysis of memes;Patwa,2021

Cited by 2 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. Experiential Views: Towards Human Experience Evaluation of Designed Spaces using Vision-Language Models;Extended Abstracts of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. MVItem: A Benchmark for Multi-View Cross-Modal Item Retrieval;IEEE Access;2024

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