An attention-based, context-aware multimodal fusion method for sarcasm detection using inter-modality inconsistency-Reference-Cited by-同舟云学术

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An attention-based, context-aware multimodal fusion method for sarcasm detection using inter-modality inconsistency

Published:2024-03 Issue: Volume:287 Page:111457
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Li Yangyang^ORCID,Li Yuelin^ORCID,Zhang Shihuai,Liu Guangyuan^ORCID,Chen Yanqiao,Shang Ronghua,Jiao Licheng

Funder

NSFC

Publisher

Elsevier BV

Reference41 articles.

1. Sentiment analysis: A combined approach;Prabowo;J. Informetr.,2009

2. Opinion mining and sentiment analysis;Pang;Found. Trends Inf. Retr.,2008

3. Distinguishing between facts and opinions for sentiment analysis: Survey and challenges;Chaturvedi;Inf. Fusion,2018

4. Literature survey of sarcasm detection;Chaudhari,2017

5. Extracting relevant knowledge for the detection of sarcasm and nastiness in the social web;Justo;Knowl.-Based Syst.,2014

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. Multifaceted and deep semantic alignment network for multimodal sarcasm detection;Knowledge-Based Systems;2024-10

2. Enhancing Cross-Lingual Sarcasm Detection by a Prompt Learning Framework with Data Augmentation and Contrastive Learning;Electronics;2024-06-01

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