Topics Covered And Topic Modeling with NMF and SVD

Topics Covered And Topic Modeling with NMF and SVD

1. What is NLP? Topic Modeling with NMF and SVD A changing field Resources Tools Python libraries Example applications Ethics issues

1. What is NLP?

  • A changing field
  • Resources
  • Tools
  • Python libraries
  • Example applications
  • Ethics issues

2. Topic Modeling with NMF and SVD

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part-2

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  • Stop words, stemming, & lemmatization
  • Term-document matrix
  • Topic Frequency-Inverse Document Frequency (TF-IDF)
  • Singular Value Decomposition (SVD)
  • Non-negative Matrix Factorization (NMF)
  • Truncated SVD, Randomized SVD

3. Sentiment classification with Naive Bayes, Logistic regression, and ngrams

  • Sparse matrix storage
  • Counters
  • the fastai library
  • Naive Bayes
  • Logistic regression
  • Ngrams
  • Logistic regression with Naive Bayes features, with trigrams

4. Regex (and re-visiting tokenization)

5. Language modeling & sentiment classification with deep learning

  • Language model
  • Transfer learning
  • Sentiment classification

6. Translation with RNNs

  • Review Embeddings
  • Bleu metric
  • Teacher Forcing
  • Bidirectional
  • Attention

data-science machine-learning ai information-extraction nlp

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