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I tried to bench mark this tool on the Mass Dataset in the same setting as mentioned in the paper (Distributed Representations of Sentences and Documents). Instead of testing it directly, I had created sentence representation of entire mass dataset (train+test) and did a cross validation. I am not getting more than 51%. Has anybody tested this implementation and bench marked?
The text was updated successfully, but these errors were encountered:
@bakfire07 hi, I am new to doc2vec, but really want to know how to get paragraph vectors ? But from the tutorial, the Paragraph Vector frame just can get the word vectors like word2vec.
Could you tell me the method to get the pharagragh vectors.
Very appreciate it.
I tried to bench mark this tool on the Mass Dataset in the same setting as mentioned in the paper (Distributed Representations of Sentences and Documents). Instead of testing it directly, I had created sentence representation of entire mass dataset (train+test) and did a cross validation. I am not getting more than 51%. Has anybody tested this implementation and bench marked?
The text was updated successfully, but these errors were encountered: