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Questions - doc2vec

Accuracy Document Embedding in Apache Solr

I made use of Bert document embeddings to perform information retrieval on the CACM dataset. I achieved a very low accuracy score of around 6%. However when I used the traditional BM-25 method, the re...
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Michael Pulis

solr

bert-language-model

information-retrieval

doc2vec

Votes: 0

Answers: 1

Latest Answer

Many people find document embeddings work really well for their purposes! If they're not working for you, possible reasons include: insufficiency of training data problems in your unshown process dif...
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gojomo

Python : 'Doc2Vec' object has no attribute 'dv'

Thanks for advice, I have edited the question I meet this: AttributeError: 'Doc2Vec' object has no attribute 'dv' The error comes from Traceback (most recent call last): File "F:\Projects\项目代码\...
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foling

python

nlp

gensim

doc2vec

Votes: 0

Answers: 1

Latest Answer

It may be the problem of your version, or you can try to correct your code "model.doc2vec"
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Whitney

I make Graph embedding using Gensim Doc2vec and then binary classification with 2 layers deep neural network in keras

after making the graph embedding with Doc2vec, I want to make classification with keras, do I have to make embedding layer and put it as input to neural network or I directly use the embedding and spl...
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Sarah Elnaggar

python-3.x

keras

gensim

doc2vec

Votes: 0

Answers: 0

Different results infer_vector() of Doc2Vec after saving to disk and load

I am using the Doc2Vec model from gensim (4.1.2) python library. I trained model on my corpus of documents and used infer_vector(). Than I saved model and try to use infer_vector on same text, but I g...
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sergzemsk

python

python-3.x

windows

gensim

doc2vec

Votes: 0

Answers: 1

Latest Answer

First, there's a natural amount of variance from one run of infer_vector() to another, that's inherent to how the algorithm works. The vector will be at least a little different every time you run it,...
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gojomo

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