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word2vec is a two layer neural network to process text. It takes words as an input and outputs a vector correspondingly. It uses a combination of Continuous Bag of Word and skipgram model implementation.

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Tagging documents for doc2vec

I am working on resume parsing script. I am trying to tag documents sentences with TaggedDocument function, provided by gensim. What I have managed for now is to divide every text into sentence, put …
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Tagging documents for doc2vec

I've managed to write a function that iterates over it for me: class TaggedDocumentIterator(object): def __init__(self, doc_list, labels_list): self.labels_list = labels_list self.doc_list = …
Graygood's user avatar
  • 113
1 vote
2 answers
85 views

Doc2vec '-' symbol occurrence

Currently working on resume parser and struggled with embedding words with '-' symbols in them. Such as 'IT-manager'. Vector representations of these words are incorrectly classified by doc2vec. …
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