Sentiment Analysis With Logistic Regression

Objectives

  • Sentiment analysis
  • Logistic regression
  • Data pre-processing
  • Calculating word frequencies
  • Feature extraction
  • Vocabulary creation
  • Supervised learning

Sentiment Analysis With Naive Bayes

Objectives

  • Error analysis
  • Naive Bayes inference
  • Log likelihood
  • Laplacian smoothing
  • conditional probabilities
  • Bayes rule
  • Sentiment analysis
  • Vocabulary creation
  • Supervised learning

Vector Space Models

Objectives

  • Covariance matrices
  • Dimensionality reduction
  • Principal component analysis
  • Cosine similarity
  • Euclidean distance
  • Co-occurrence matrices
  • Vector representations
  • Vector space models

Objectives

  • Gradient descent
  • Approximate nearest neighbors
  • Locality sensitive hashing
  • Hash functions
  • Hash tables
  • K nearest neighbors
  • Document search
  • Machine translation
  • Frobenius norm