vecto
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  • Tutorial
    • Introduction to Vecto
    • Installing Vecto
    • The metadata
    • Where to get data?
    • Training new models
    • Basic operations
    • Visualization
    • Intrinsic evaluation
    • Extrinsic evaluation
    • Project roadmap
  • API reference
  • Contribution Guide
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TutorialΒΆ

  • Introduction to Vecto
    • What is Vecto?
    • Why do you bother?
  • Installing Vecto
    • System requirements
    • Method 1: Pip-install
    • Method 2: Clone or download the github repo
  • The metadata
    • The corpus metadata
    • The vocab metadata
    • The embeddings metadata
    • The datasets metadata
    • The experiment metadata
    • Accessing the metadata in Vecto
  • Where to get data?
    • Source corpora
    • Pre-trained VSMs
  • Training new models
    • Word2vec
  • Basic operations
    • Supported VSM formats
    • Importing vectors
    • Getting top similar neighbors of a word
    • Words to vectors and back
    • Filtering the vocabulary of a VSM
  • Visualization
    • Drawing features
    • Visualizing similarity between certain words.
    • Visualizing dimensions
  • Intrinsic evaluation
    • Word analogy task
    • Correlation with human similarity/relatedness judgements
  • Extrinsic evaluation
  • Project roadmap
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