L04 : Text and Embeddings: Introduction to NLP, Word Embeddings, Word2Vec

Lecture Goals

  • Understand how natural language elements (such as words) are processed in an analytics workflow
  • Understand the shortcomings of methods such as Naive Bayes, Latent Dirichlet Allocation
  • Realize that a CNN can also be used for a NLP task (sentence classification/sentiment analysis)
  • What is word2vec and how does it help in NLP tasks?