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WSDM Cup 2019 Fake News Classification

Shell 14.31% Python 85.69%

wsdm2019's Introduction

WSDM2019 第二名

WSDM Cup 2019 Fake News Classification

模型准备提前下载Google的3个bert预训练模型于data/bert/路径下： chinese_L-12_H-768_A-12 uncased_L-24_H-1024_A-16 uncased_L-12_H-768_A-12
数据集划分数据集划分和数据增强。直接运行脚本: sh 0_prepare.sh
第一层模型训练和预测。直接运行脚本: sh 1_first_level_model_train_and_predict.sh
第二层和第三层模型的训练和预测。直接运行脚本: sh 2_1_second_level_and_third_level_model.sh
结果位置 result/result.csv
运行时长第一层的25个基于bert的模型训练时间较长，保守估计平均每个模型需要5个小时左右。第二三层模型运行时间大概需要一两个小时。

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