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Python实现中文文本关键词抽取,分别用了TF-IDF、LDA、RNN、LSTM和LR-SGD两类共五种方法,全网最全没有之一。

Python 100.00%

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keyword-extraction's Issues

能简单说明一下您实现的RNN、LSTM部分的原理吗

涉及这部分的一点原理向您咨询一下
dataset.npz是类似于词向量吗
词向量是什么方法得到的?
rnn&lstm生成关键词的方法是直接抽取式呢?
还是从候选关键词中进行权重计算挑选呢?
是后者的话候选关键词是如何得到的呢?是所有的分词结果吗?
还是其他的方法,谢谢谢谢

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