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In this course, you will learn:
- Working understanding of natural language processing, including sentiment analysis, statistical analysis of corpus content, and metadata usage.
- Practical expertise using R natural language processing programs such as tidytext, tm, and quanteda.
- Experience with term frequency, stemming, n-grams, and lemmatization.
- Understanding of speech pieces and their application to natural language research.
- The ability to utilize tf-idf to identify documents that correspond to specific phrases.
Syllabus :
- Important Concepts in Natural Language Processing
- Text Mining Package
- Understanding Corpora and Sources
- Converting Text to Structured Data
- Document Insights and Advanced Search Techniques
- Working with Metadata in the tm Package
- Implementing NLP with the quanteda Package
- Implementing NLP with the tidytext Package
