文本分类应用

目录

• 文本分类应用
  • 1.1 讽刺检测
  • 1.2 情感分类
  • 1.3 情感分析
  • 1.4 假新闻识别
  • 1.5 商品分类

1.1 讽刺检测

• Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model. ACL 2019

• 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

  论文解读：https://www.pianshen.com/article/35901009638/

• Towards Multimodal Sarcasm Detection (An Obviously Perfect Paper)

• 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

  论文解读：https://zhuanlan.zhihu.com/p/93626115

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

• Exploiting Multi-domain Visual Information for Fake News Detection. ICDM 2019

• 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

  论文解读：https://www.pianshen.com/article/19361581000/

• EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. KDD 2018

• 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

  论文解读：https://www.pianshen.com/article/57871580780/

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.