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We have further found that we can reduce the dimension of the GloVe embeddings by use PCA dimensional reduction technique PCA on the GloVe vectors, to reduce the dimensionality to 50 dimensions and still keep 90% of the variance.

INTO JAPANESE

さらに、GloVeベクトルでPCA次元削減手法PCAを使用して、GloVe埋め込みの次元を削減し、次元を50次元に削減し、分散の90％を維持できることを発見しました。

BACK INTO ENGLISH

In addition, we have found that the PCA dimensionality reduction technique PCA in GloVe vectors can be used to reduce the dimensions of GloVe embeddings, reduce the dimensions to 50 dimensions, and maintain 90% of the variance.

INTO JAPANESE

さらに、GloVeベクトルのPCA次元削減手法PCAを使用して、GloVe埋め込みの次元を削減し、次元を50次元に削減し、分散の90％を維持できることを発見しました。

BACK INTO ENGLISH

In addition, we found that the GloVe vector PCA dimensionality reduction method PCA can be used to reduce the dimensions of GloVe embedding, reduce the dimensions to 50 dimensions, and maintain 90% of the variance.

INTO JAPANESE

さらに、GloVeベクトルPCA次元削減方法PCAを使用して、GloVe埋め込みの次元を削減し、次元を50次元に削減し、分散の90％を維持できることを発見しました。

BACK INTO ENGLISH

In addition, we found that the GloVe Vector PCA Dimensionality Reduction Method PCA can be used to reduce the dimensions of GloVe embeddings, reduce the dimensions to 50 dimensions, and maintain 90% of the variance.

INTO JAPANESE

さらに、GloVeベクトルPCA次元削減方法PCAを使用して、GloVe埋め込みの次元を削減し、次元を50次元に削減し、分散の90％を維持できることがわかりました。

BACK INTO ENGLISH

In addition, we found that the GloVe vector PCA dimensionality reduction method PCA can be used to reduce the dimensions of GloVe embeddings, reduce the dimensions to 50 dimensions, and maintain 90% of the variance.

INTO JAPANESE

さらに、GloVeベクトルPCA次元削減方法PCAを使用して、GloVe埋め込みの次元を削減し、次元を50次元に削減し、分散の90％を維持できることを発見しました。

BACK INTO ENGLISH

In addition, we found that the GloVe Vector PCA Dimensionality Reduction Method PCA can be used to reduce the dimensions of GloVe embeddings, reduce the dimensions to 50 dimensions, and maintain 90% of the variance.

INTO JAPANESE

さらに、GloVeベクトルPCA次元削減方法PCAを使用して、GloVe埋め込みの次元を削減し、次元を50次元に削減し、分散の90％を維持できることがわかりました。

BACK INTO ENGLISH

In addition, we found that the GloVe vector PCA dimensionality reduction method PCA can be used to reduce the dimensions of GloVe embeddings, reduce the dimensions to 50 dimensions, and maintain 90% of the variance.