Conclusion

Introduction to Natural Language Processing in R

Kasey Jones

Research Data Scientist

Course recap

  • The pre-processing:
    • tokenization
    • stop-word removal
    • data formats (tibbles, VCorpus, h2o frame)
  • The classics:
    • sentiment analysis
    • text classification
    • topic modeling
Introduction to Natural Language Processing in R

Recap continued

  • The advanced techniques

    • word embeddings
    • BERT/ERNIE

  • The Next Steps

    • practice
    • master the basics
Introduction to Natural Language Processing in R

Course complete!

Introduction to Natural Language Processing in R

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