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youmi

智能问答系统demo, word2vec语义匹配

数据

链接：https://pan.baidu.com/s/1KYpyC42pi8xDT19sH02EZw 密码：g22n

结果

you:我账号被人盗了

[('账号被盗了', 0.859556081969784), ('我的号被盗了', 0.8302024684697034), ('帐号被盗了', 0.829032549231153), ('账号被人盗绑怎么办？', 0.7960073683134146), ('账号被盗怎么办？', 0.7198214053422787), ('号刚才被盗了', 0.7108523513577553), ('找回被盗账号', 0.7011944711921758), ('账号给盗了怎么找回', 0.6763156222131452), ('账号忘了', 0.6746552683415384), ('如何找回被盗账号', 0.6667820752109237)]

new commit:

增加了深度学习方法：CNN/LSTM训练产生的embeddings语义向量用于匹配运算。可以解决新词没有语义的问题。

2019-06-29 commit

（很久不更新了，缺少的模型文件找不到了，已修改了不加载该文件，应该可以运行了，不影响整体逻辑）

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youmi's Issues

中文wiki word2vec问题

您好！
很荣幸可以学习您的项目；该项目中使用的中文wiki的word2vec模型是 “wiki.zh.word_200v.model”，并且能够成功运行。
但是，遇到一个问题：
1. 我在wiki官网上下载中文语料并且重新训练wiki word2vec模型文件，训练时的参数为：
model=Word2Vec(LineSentence(rawdata),size=400,window=5,min_count=5,
workers=multiprocessing.cpu_count())
2.把步骤1中训练的word2vec模型替换到您的项目中，发现在get_vec_sen函数中，
tianlong_libs.xlsx中的词始终在该模型中找不到，因此vector词向量和始终为0；
3. 是不是我步骤1中自己生成word2vec参数不正确呢？
4. 您提供的wiki.zh.word_200v.model这个模型是如何训练的呢？训练参数可以贴下吗？

谢谢解惑！

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