Section outline

  • March 22nd, Friday (16:30-18:30)

    Using pretrained word embeddings

    • Introduction to the gensim library
    • Common operations with word embeddings: lookup, similarity, NN retrieval
    • Visualizing word embeddings: dimensionality reduction with PCA
    • Intrisic evaluation of word embeddings: word similarity and word analogy benchmarks

    Pretraining word embeddings

    • Using gensim to pretrain word embeddings (Word2Vec style)
    • Saving and loading embeddings

    Extrinsic evaluation of word embeddings

    • Using word2vec representations for spam classification

    Resources