Is it possible to exclude similarity of e.g. sentences when predicting? about ruimtehol HOT 8 CLOSED

I think you can. Haven't done this myself but I think you can summate/subtract the different embeddings of the different words in order to achieve what you are looking for.

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Thanks! I will give it a try somehow. Any chance of adding this as a feature to the predict function? Something like predict(model, text, exclude_docs=text, k=3)

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Maybe I'm misunderstanding the question. Predict already has argument basedoc which allows a similar thing to limit the prediction to that set of docs you provide in basedoc only (maybe not in the trainmode setting however that you refer to)

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I was aware of basedoc. I am just looking for a possibility to find similar documents while taking into account some dissimilar basedocs. I am sorry my question was not clear.

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why not just filter these out from basedoc by finding similarity from the text in basedoc and other docs which you do not want in

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I will figure some things out. Thanks!

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In addition to the question I asked above I want to give an example from word2vec tutorials. What I meant to say was, is it possible to do something like France + Berlin - Germany = Paris on a sentence or article level with Ruimtehol?

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Yes.

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