Word Vectors

• Essentially word Embedding
• Text processing
• We can represent ideas/sentences/documents as vectors to feed into any kind of model
• Useful because vectors can be easily compared to find similarity
  • eg : [Cosine Similarity](Cosine Similarity.md)
• Higher dimensions make it challenging
• Vectors that are metrically close to each other
• GloVE
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