Detecting Deceptive Review Spam via Attention-Based Neural Networks
Detecting Deceptive Review Spam via Attention-Based Neural Networks 相關工作 挖掘行爲特徵 挖掘語言特徵 對spammer檢測 模型 先前的工作主要是挖掘有效的特徵然後利用已有的分類器進行分類，儘管這些方法能學會分類評論，能發現評論是否具有欺騙的嫌疑，但是他們不能區分這條評論是行爲上可疑，還是語言上可疑，我們發現該網站上的一些垃圾
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相關文章
- 1. Collective Opinion Spam Detection: Bridging Review Networks and Metadata（2015KDD）
- 2. Joint Event Extraction via Recurrent Neural Networks
- 3. [paper]Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
- 4. A Critical Review of Recurrent Neural Networks for Sequence Learning
- 5. 論文學習7-Spam Review Detection with Graph Convolutional Networks（阿里巴巴）
- 6. 論文閱讀筆記：GAS---spam review detection with graph convolutional networks
- 7. Learning to Compare Image Patches via Convolutional Neural Networks
- 8. AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
- 9. Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
- 10. Image Inpainting via Generative Multi-column Convolutional Neural Networks