🐀 Dense vector

=== a short vector with few zeroes==

How to get?

• Neural 📙 Language Model inspired:
  • 📠 word2vec
• Singular Value Decomposition:
  • Latent Semantic Analyis

Pros

Compared to sparse vectors, they are..

• Easier to use as a feature in 🧠 Machine Learning
• A better generalization

🔗 Links

〰️ Word embedding 🦒 Sparse vector