word2vec如何从向量中获取单词? [英] word2vec how to get words from vectors?

问题描述

我使用ANN从单词中预测单词.输入和输出都是单词向量.我不知道如何从ANN的输出中获取单词.顺便说一句，我正在使用gensim

I use ANN to predict words from words. The input and output are all words vectors. I do not know how to get words from the output of ANN. By the way, it's gensim I am using

推荐答案

您可以找到向量与所有其他单词向量的余弦相似度，以找到向量的最近邻.

You can find cosine similarity of the vector with all other word-vectors to find the nearest neighbors of your vector.

在n维空间上最近的邻居搜索可能是蛮力的，或者您可以使用FLANN，Annoy，scikit-kdtree之类的库来更有效地进行搜索.

The nearest neighbor search on an n-dimensional space, can be brute force, or you can use libraries like FLANN, Annoy, scikit-kdtree to do it more efficiently.

更新

分享同样要点的要点: https://gist.github.com/kampta/139f710ca91ed5fabaf9e6616d2c762b

Sharing a gist demonstrating the same: https://gist.github.com/kampta/139f710ca91ed5fabaf9e6616d2c762b

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