文本分类应用
文本分类应用
1.1 讽刺检测
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Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model. ACL 2019
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论文来源:ACL 2019
论文链接:https://www.aclweb.org/anthology/P19-1239/
关键词:情感分析;图文;反讽刺识别
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Towards Multimodal Sarcasm Detection (An Obviously Perfect Paper)
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论文来源:ACL 2019
论文链接:https://arxiv.org/pdf/1906.01815v1.pdf
github地址:https://github.com/soujanyaporia/MUStARD
关键词:反讽刺识别
1.2 情感分类
- Contextual Inter-modal Attention for Multi-modal Sentiment Analysis. ACL 2018
- github地址:https://github.com/soujanyaporia/contextual-multimodal-fusion
链接:https://pan.baidu.com/s/1bNsgWInUlG2-M88PSXGcPQ
提取码:uk6m - 论文解读https://blog.csdn.net/ningmengshuxiawo/article/details/109141253
1.3 情感分析
- Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis. NAACL 2019
- 论文解析https://www.cnblogs.com/taaccoo/p/13662595.html
1.4 假新闻识别
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Exploiting Multi-domain Visual Information for Fake News Detection. ICDM 2019
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论文来源:ICDM 2019
论文链接:https://arxiv.org/abs/1908.04472
关键词:假新闻检测;图像;频域;像素域;CNN;RNN;attention
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EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. KDD 2018
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论文来源:KDD 2018
论文链接:https://doi.org/10.1145/3219819.3219903
代码链接:https://github.com/yaqingwang/EANN-KDD18
关键词:多模态(图像+文本);对抗神经网络;假新闻检测
1.5 商品分类
- Is a Picture Worth a Thousand Words? A Deep Multi-Modal Architecture for Product Classification in E-Commerce. AAAI 2018.