zcube.guru

TEST

Word2vec is a simple neural network to classify according to the position of the word in the sentence. It takes as its input a large corpus of text to learn context of word, finally linguistic one. It use vector spaces to

I read some articles that explains theory of word2vec. but it was difficult for me to understand. So I try to read the spark’s word2vec source code.

I has downloaded source codes of spark.

I would start at “.fit” function of “Word2Vec.scala” in “/spark/mllib/src/main/scala/org/apache/spark/ml/feature” folder

This function just wraps the other of other “Word2Vec.scala”  in “…/mlib/feature. Word2vec is a simple neural network to classify according to the position of the word in the sentence. It takes as its input a large corpus of text to learn context of word, finally linguistic one. It use vector spaces to

I read some articles that explains theory of word2vec. but it was difficult for me to understand. So I try to read the spark’s word2vec source code.

I has downloaded source codes of spark.

I would start at “.fit” function of “Word2Vec.scala” in “/spark/mllib/src/main/scala/org/apache/spark/ml/feature” folder

This function just wraps the other of other “Word2Vec.scala”  in “…/mlib/feature.