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All LessonsFree Lessons (6)

Before We Begin

Introduction to the Course Key Skills for Success

Important Concepts in Natural Language Processing

Understanding Tokens and N-Grams

Creating a List of Frequent Terms

Removing Unnecessary Terms

Reducing and Aggregating Terms

Mid-Chapter Quiz

Determining the Sentiment of a Document

Understanding Parts of Speech

Searching for Matching Documents with tf-idf

Comparing R Packages for NLP

End of Chapter Quiz

Text Mining Package

Installation and Documentation Using the File Folder as Corpus

Understanding Corpora and Sources

Corpus Classes and Source Types Using a Suitable Corpus Class Using a Suitable Source Type Quiz: Understanding Corpora and Sources

Converting Text to Structured Data

Document-Term Matrix Stopword Removal Removing Other Unnecessary Terms Quiz on Converting Text to Structured Data

Document Insights and Advanced Search Techniques

Alternative Approaches Understanding Tokenization and Its Importance Preserve Phrases with N-grams Analyzing Textual Comparisons with Document-Term Matrices Refining Textual Meaning through Stemming Implement tf-idf with tm Visualization with tm Quiz: Tokens, N-Grams, tf-idf, and Stemming

Working with Metadata in the tm Package

Understanding Metadata in Text Analysis Assigning Metadata Using Metadata Quiz: Working with Metadata in the tm Package

Implementing NLP with the quanteda Package

Understanding quanteda Installing quanteda quanteda Basics Implementing Sentiment Analysis with quanteda Text Statistics with quanteda Calculate tf-idf with quanteda Quiz: Implementing NLP with the quanteda Package

Implementing NLP with the tidytext Package

Understanding tidytext tidytext Basics Stemming with tidytext Lemmatization with tidytext Calculate tf-idf with tidytext Recognizing Parts of Speech with tidytext Quiz on tidytext

Course Assessment

Assess What You Have Learned About NLP

Concluding Remarks

Appendix

A Note About the Sample Files

Performing Natural Language Processing with R/

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End of Chapter Quiz

End of Chapter Quiz

Quiz yourself on what you’ve learned so far in this chapter.

We'll cover the following...

Document Sentiment, Parts of Speech, and tf-idf

1.

What does the tf-idf measure in a document relative to its frequency in a corpus of documents?

A.

Relevance of a word

B.

Total number of words

C.

Total number of documents

D.

Word count in a document

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