I read this page but I do not understand what is different between models which are built based on the following codes. I know when dbow_words is 0, training of doc-vectors is faster. First model ...

I'm using the Doc2Vec tags as an unique identifier for my documents, each document has a different tag and no semantic meaning. I'm using the tags to find specific documents so I can calculate the ...

When creating model,there is not any more model with extension finish .syn1neg.npy syn0.npy My code is below: corpus= x+y tok_corp= [nltk.word_tokenize(sent.decode('utf-8')) for sent in ...

I have a collection of documents, where each document is rapidly growing with time. The task is to find similar documents at any fixed time. I have two potential approaches: A vector embedding (w...

I am trying to build a document retrieval model that returns most documents ordered by their relevancy with respect to a query or a search string. For this I trained a doc2vec model using the Doc2V...

I am just playing around with Doc2Vec from gensim, analysing stackexchange dump to analyze semantic similarity of questions to identify duplicates. The tutorial on Doc2Vec-Tutorial seems to descri...

i am going thorugh this paper http://cs.stanford.edu/~quocle/paragraph_vector.pdf and it states that " Theparagraph vector and word vectors are averaged or concatenated to predict the next wor...

Please help me in understanding the difference between how TaggedDocument and LabeledSentence of gensim works. My ultimate goal is Text Classification using Doc2Vec model and any classifier. I am f...

I'm using Gensim Doc2Vec model, trying to cluster portions of a customer support conversations. My goal is to give the support team an auto response suggestions. Figure 1: shows a sample conversat...

I recently came across the doc2vec addition to Gensim. How can I use pre-trained word vectors (e.g. found in word2vec original website) with doc2vec? Or is doc2vec getting the word vectors from th...

Is there a way to get the document vectors of unseen and seen documents from Doc2Vec in the gensim 0.11.1 version? For example, suppose I trained the model on 1000 thousand - Can I get the doc v...