Natural Language Processing (NLP)

  1. Feature Representation
    1. Traditional Approaches
      1. Bag-of-Words
        1. Binary Representation
          1. Count Representation
            1. Normalized Counts
            2. TF-IDF
              1. Term Frequency Variants
                1. Inverse Document Frequency
                  1. Normalization Schemes
                  2. N-gram Features
                    1. Word N-grams
                      1. Character N-grams
                        1. Skip-grams
                      2. Dimensionality Reduction
                        1. Principal Component Analysis
                          1. Singular Value Decomposition
                            1. Latent Semantic Analysis
                              1. Feature Selection Methods
                              2. Sparse vs Dense Representations
                                1. Memory and Computational Considerations
                                  1. Interpretability Trade-offs
                                    1. Performance Implications

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                                  4. Language Modeling

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                                  6. Word Embeddings and Distributed Representations