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I have generated the vectors for a list of tokens from a large document using word2vec. Given a sentence, is it possible to get the vector of the sentence from the vector of the tokens in the sentence.
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Essentially, every paragraph (or sentence) is mapped to a unique vector, and the combined paragraph and word vectors are used to predict the next word. Through such a training, the paragraph vectors may start storing missing information, thus acting like a memory for the paragraph.
word2vec will simply embed each phrase within the window of phrases coming before and after each phrase now (just like before with words). So if the phrases before and after your target phrase are not meaningful with respect to that target phrase, your numbers will neither be meaningful.
Converting words to vectors, or word vectorization, is a natural language processing (NLP) process. The process uses language models to map words into vector space. A vector space represents each word by a vector of real numbers. It also allows words with similar meanings have similar representations.
There are differet methods to get the sentence vectors :
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