Questions tagged [context-vector]

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How do work around Kmeans value error?

I am working on a social network analysis project. My data comes from twitter. Before I run the analysis, I intend to apply clustering- specifically Kmeans to determine how to seperate tweets in ...
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Attention to get context of words

The W2V techniques define context as a window of k words around the term, and using this learn the vector representations for words in the corpus. Attention networks can help us get the important ...
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Getting context-word pairs for a continuous bag of words model and other confusions

Suppose I have a corpus with documents: ...
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word2vec: usefulness of context vectors in classification

I've been working on a NN-based classification system that accepts document vectors as input. I can't really talk about what I'm specifically training the neural net on, so i'm hoping for a more ...
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