tuxiaobei-scu / Rumor-Short-Video
本项目采用多模态特征融合和引入外部知识的方式来检测短视频谣言,创新性地引入了对比学习的方式实现了谣言的区分
☆17Updated last year
Alternatives and similar repositories for Rumor-Short-Video:
Users that are interested in Rumor-Short-Video are comparing it to the libraries listed below
- This is the source code of IJCNN 2023 paper TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection (TieFake).☆16Updated last year
- 中山大学2022届本科生毕业论文《基于注意力机制和图卷积神经网络的多任务谣言检测》代码实现和baseline代码。现采用BERT作为编码器,实现了新的模型。☆44Updated last week
- 使用pytorch完成的一个多模态分类任务,文本和图像部分分别使用了bert和resnet提取特征(在config里可以组合多种模型),在我的小规模数据集上取得了良好的性能(验证集acc96%)☆70Updated last year
- 人工智能实验五:多模态情感分类☆14Updated 2 years ago
- Multi-Modal Fine-Grained Fake News Detection with Dialogue Summarization☆22Updated 2 years ago
- 基于多模态检索的互联网图文匹配☆12Updated 10 months ago
- The code for ICASSP 2023 paper: MRML: Multimodal Rumor Detection by Deep Metric Learning.☆60Updated last year
- ☆14Updated 2 years ago
- 疫情期间互联网虚假新闻检测☆12Updated 4 years ago
- SpotFake(Pytorch)☆27Updated 10 months ago
- base on deep learning, multi-modal fusion.☆12Updated 3 months ago
- 中文谣言和虚假新闻数据集☆42Updated last year
- THUCNews中文文本分类数据集,该数据集包含84万篇新闻文档,总计14类;在该模型的基础上测试多个版本bert分类效果。☆58Updated 3 years ago
- 多模态融合情感分析☆118Updated 4 years ago
- 该仓库存放了多模态情感分析实验的配套代码。☆38Updated 2 years ago
- the implement for "Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion"☆11Updated 7 months ago
- Official repository for "Memory-Guided Multi-View Multi-Domain Fake News Detection", IEEE TKDE.☆54Updated last year
- 多模态情感分析——基于BERT+ResNet的多种融合方法☆253Updated 2 years ago
- 多模态虚假新闻检测挑战赛第一名☆12Updated 4 years ago
- Official repository for "Zoom Out and Observe: News Environment Perception for Fake News Detection", ACL 2022.☆70Updated 8 months ago
- 在SMP2020的微博情绪分类任务上,微调在中文预料上预训练的BERT模型,进行文本分类。☆97Updated 2 years ago
- SimCSE中文语义相似度对比学习模型☆79Updated 2 years ago
- Share some deep learning knowledge and reproduce the model framework☆30Updated 3 years ago
- 使用bert进行中文方面级情感识别。☆22Updated last year
- 2022微信大数据挑战赛_rank12☆16Updated 2 years ago
- ☆46Updated 2 years ago
- 本项目主要是利用LSTM来对中文文本进行情感分类,包含四个类别(愤怒,焦虑,抑郁,伤感)☆54Updated 5 years ago
- ☆17Updated 3 months ago
- 疫情期间网民情绪识别比赛分享+top1~3解决方案☆51Updated 4 years ago
- Multimodal Fusion with Co-Attention Networks for Fake News Detection☆71Updated 2 years ago