Natural Language Processing with Classification and Vector Spaces
Sentiment analysis
Logistic regression
Data pre-processing: stemming, Stop words, p unctuation
Calculating word frequencies
Feature extraction
Vocabulary creation
Supervised learning
Error analysis
Naive Bayes inference
Log likelihood
Laplacian smoothing
conditional probabilities
Bayes rule
Sentiment analysis
Vocabulary creation
Supervised learning
Confidence ellipses
Covariance matrices
Dimensionality reduction
Principal component analysis
Cosine similarity
Euclidean distance
Co-occurrence matrices
Vector representations
Vector space models