Temporal-aware Multimodal Feature Fusion for Sentiment Analysis

Author:

Li Qi1ORCID,Tang Shulei1ORCID,Zhang Feixiang1ORCID,Wang Ruotong1ORCID,Xu Yangyang2ORCID,Zhao Zhuoer1ORCID,Sun Xiao3ORCID,Wang Meng4ORCID

Affiliation:

1. Anhui University, Hefei, China

2. University of Science and Technology of China, Hefei, China

3. Hefei University of Technology, Hefei Comprehensive National Science Center, & ZhongJuYuan Intelligent Technology Co., Ltd, Hefei, China

4. Hefei University of Technology & Hefei Comprehensive National Science Center, Hefei, China

Funder

Major Project of Anhui Province

National Key R&D Programme of China

Publisher

ACM

Reference36 articles.

1. Timo Ahonen , Abdenour Hadid , and Matti Pietikainen . 2006. Face description with local binary patterns: Application to face recognition . IEEE transactions on pattern analysis and machine intelligence, Vol. 28 , 12 ( 2006 ), 2037--2041. Timo Ahonen, Abdenour Hadid, and Matti Pietikainen. 2006. Face description with local binary patterns: Application to face recognition. IEEE transactions on pattern analysis and machine intelligence, Vol. 28, 12 (2006), 2037--2041.

2. Shahin Amiriparian Maurice Gerczuk Sandra Ottl Nicholas Cummins Michael Freitag Sergey Pugachevskiy Alice Baird and Björn Schuller. 2017. Snore sound classification using image-based deep spectrum features. (2017) 3512--3516. Shahin Amiriparian Maurice Gerczuk Sandra Ottl Nicholas Cummins Michael Freitag Sergey Pugachevskiy Alice Baird and Björn Schuller. 2017. Snore sound classification using image-based deep spectrum features. (2017) 3512--3516.

3. Alexei Baevski , Yuhao Zhou , Abdelrahman Mohamed , and Michael Auli . 2020. wav2vec 2.0: A framework for self-supervised learning of speech representations. Advances in neural information processing systems , Vol. 33 ( 2020 ), 12449--12460. Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed, and Michael Auli. 2020. wav2vec 2.0: A framework for self-supervised learning of speech representations. Advances in neural information processing systems , Vol. 33 (2020), 12449--12460.

4. Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 ( 2014 ). Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014).

5. Tadas Baltruvs aitis, Chaitanya Ahuja , and Louis-Philippe Morency . 2018. Multimodal machine learning: A survey and taxonomy . IEEE transactions on pattern analysis and machine intelligence, Vol. 41 , 2 ( 2018 ), 423--443. Tadas Baltruvs aitis, Chaitanya Ahuja, and Louis-Philippe Morency. 2018. Multimodal machine learning: A survey and taxonomy. IEEE transactions on pattern analysis and machine intelligence, Vol. 41, 2 (2018), 423--443.

Cited by 1 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

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3