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View Code? Open in Web Editor NEWCCF-BDCI 2018年汽车行业用户观点主题及情感识别挑战赛 第6名解决方案
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模型实现细节问题
最近Fork了楼主的代码，楼主实力确实强，顶礼膜拜。下面有几点实现细节问题想问下楼主，烦请回答下。
- Aspect Embedding初始化问题。
我看了实现代码，发现Aspect Embedding是随机初始化的，通过模型自主进行学习。我也看到楼主用预训练的表示进行初始化，代码被注释掉了。我想问下楼主，这两者在实际情况下的效果差别？另外，还有，楼主采用了两次Aspect Tile，Attention之前一次，Attention之后一次，我想问下楼主这样做的原因是什么？ - Early Stop与Learning rate decay问题
我看代码中其实采用了Early Stop及Learning rate decay，但是代码被注释掉了，我想问下前后的差别有多少？ - dev 验证及batch扩充问题
最后一个是小问题，我看代码中将dev放在train的batch遍历中，采用step进行控制，传统的我见过的，都是先训练完train，然后进行dev，我想问下这两者哪一个是标准的？
对于batch扩充问题，楼主采用对不足的部分进行复制，以前看有的代码采用对于整个数据进行随机扩充为batch_size的整数倍，另外想问下对于TF的动态batch_size的实现问题（采用assign?），楼主有好的思路？
数据增强
我看你train_predict中训练数据拼接了round2zh2jp.csv，round2zh2en.csv数据，这些数据是先把原文用翻译成日语（英语）然后翻译回中文，增加一定扰动性，用以做数据增强的么？
百度云盘下载的预处理数据中缺少部份数据文件
data/sentiment_word.txt
config.py中定义了很多./bilm/dump/下的文件，可是没有这个目录。
train_predict.py因缺少这些文件无法执行。
不知道pack_sub_dt2.py中的676.csv是什么
您好，我在运行您的代码时运行到最后一步的时候，不知道676.csv是什么文件。能否麻烦您解释一下呢，多谢！
结果里没有情感词输出
跑完结果融合后发现 sentiment_word没有像 要求的那样输出 情感词，请教如何能得到 "太贵了" "不舒服" 这些情感词
求教：stacking 步骤报错 need at least one array to concatenate
单纯跑代码，还没细扣
train_x = np.concatenate(oof_data, axis=-1)
是不是
下载的data下并没有这个目录 啊
烦劳指教
预处理的jupyter文件里面的tran_df_final是哪个啊
全文好像没看到这个变量是怎么定义的
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