2018C-predicting stance in twitter conversation for detecting veracity of rumor ：a neural approach
一、創新點和主要內容 利用卷積神經網絡和注意力機制對推文的文本內容進行編碼得出立場預測，使用RNN（雙向GRU）和注意力機制對推文序列進行學習，最後結合兩個子模型進行謠言的預測。 檢測過程分爲兩步：根據推文的文本內容、時間戳和目標推文的順序對話結構得出每條推文的stance；然後使用conversation中所有推文的stance來對原始謠言的真假進行預測。 二、模型介紹 1、數據集 pheme數
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