論文筆記之《Neural User Response Generator: Fake News Detection with Collective User Intelligence》
論文筆記之《Neural User Response Generator: Fake News Detection with Collective User Intelligence》 以下謠言無論是虛假信息， 謠言， 推特還是微博， 我都以微博舉例， 儘管他們有些細微的差別 此論文是解決早期謠言檢測中用戶評論少的問題， 創新點在於創建了用戶評論生成器來作爲輔助手段，結合微博內容來加強謠言檢測的能
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相關文章
- 1. 論文Product-based Neural Network for User Response Prediction
- 2. NLPCC2019 - User-Characteristic Enhanced Model for Fake News Detection in Social Media
- 3. Chinese news site dispense with user anonymity
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- 6. Neural News Recommendation with Long- and Short-term User Representation（LSTUR)
- 7. 文本挖掘-Text-mining-based Fake News Detection Using Ensemble Methods -文獻閱讀筆記
- 8. 《Programming Collective Intelligence》review
- 9. 【論文解讀 WWW 2019 | MVAE】Multimodal Variational Autoencoder for Fake News Detection
- 10. 論文閱讀：Fake News Detection on Social Media:A Data Mining Perspective