Skip to content
#

wordembedding

Here are 53 public repositories matching this topic...

A word embedding is a learned representation for text where words that have the same meaning have a similar representation.Word embeddings are in fact a class of techniques where individual words are represented as real-valued vectors in a predefined vector space. Each word is mapped to one vector and the vector values are learned in a way that …

  • Updated Jun 25, 2020
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the wordembedding topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the wordembedding topic, visit your repo's landing page and select "manage topics."

Learn more