對《Detecting Rumors from Microblogs with Recurrent Neural Networks》 解讀
對《Detecting Rumors from Microblogs with Recurrent Neural Networks》 解讀 Abstract 微博社交平臺是謠言傳播的理想場所， 因此自動進行謠言檢測成爲了目前的關鍵問題。在以往的方法中， 主要通過自己設置特徵向量並利用機器學習方法進行檢測。本文所利用的方法是通過RNN 來進行謠言檢測， 因爲循環神經網絡在時序問題解決較好， 能夠捕捉
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相關文章
- 1. 文章：Emotion Recognition From Speech With Recurrent Neural Networks
- 2. 【讀】seq2seq——（1）Generating News Headlines with Recurrent Neural Networks
- 3. 《Collaborative Filtering with Recurrent Neural Networks》閱讀
- 4. 019 Recurrent Neural Networks
- 5. Recurrent Neural Networks 簡述
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- 9. 語音情感識別論文：Emotion Recognition From Speech With Recurrent Neural Networks
- 10. Deep Learning 論文解讀——Session-based Recommendations with Recurrent Neural Networks