Sumários

Document clustering and dimensionality reduction

3 outubro 2019, 15:30 • Bruno Emanuel Da Graça Martins

  • Introduction and Basic Concepts
    • The Cluster Hypothesis in IR
    • The Clustering Task
  • Partitioning Approaches
    • Bottom-up agglomerative clustering 
    • Top-down partitioning (k-means and soft-k-means)
  • Dimensionality Reduction
    • Self-organization maps
    • Latent semantic indexing

Document Clustering and Classification

3 outubro 2019, 14:00 • João Miguel Cordeiro Monteiro

  • Document clustering and classification
  • Naive Bayes classifier
  • Perceptron algorithm
  • K-Means for document clustering

Text Classification (cont.)

27 setembro 2019, 12:30 • Bruno Emanuel Da Graça Martins

  • Text Classifiers
    • Linear Discriminative Classifiers 
    • Neural Networks
  • Other Issues
  • Practical usage with Python tools
NOTE: This lecture was given by Dr. Miguel Won.

Text Classification (cont.)

27 setembro 2019, 12:30 • Bruno Emanuel Da Graça Martins

  • Text Classifiers
    • Linear Discriminative Classifiers 
    • Neural Networks
  • Other Issues
  • Practical usage with Python tools
NOTE: This lecture was given by Dr. Miguel Won.

Introdução ao Python para processamento de textos

27 setembro 2019, 11:00 • Danielle Caled Vieira

Lista 01 de Exercícios de Python para processamento de texto. Introdução às ferramentas de processamento de linguagem natural, como os pacotes nltk e a biblioteca scikit-learn.