Performing Natural Language Processing with R

Gain insights into NLP concepts using R, including the tm package, corpora, structured data conversion, and advanced search techniques. Discover quanteda and tidytext for text processing.

Intermediate

50 Lessons

Certificate of Completion

Gain insights into NLP concepts using R, including the tm package, corpora, structured data conversion, and advanced search techniques. Discover quanteda and tidytext for text processing.

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Explanations

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Explanations

This course includes

1 Assessment

100 Playgrounds

8 Quizzes

This course includes

1 Assessment

100 Playgrounds

8 Quizzes

Course Overview

This course will cover concepts in natural language processing (NLP). Developers will find this valuable because of the high demand for NLP skills. This includes understanding natural language when building applications like chatbots, sentiment analysis, search engines, and content recommendations. NLP also provides tools for data analysis, personalization, and content filtering. In this course, you will learn concepts of NLP, how to use the tm package, the use of corpora, how to convert text to structured...Show More

TAKEAWAY SKILLS

Natural Language Processing

What You'll Learn

Working knowledge of natural language processing, including sentiment analysis, statistical analysis of corpus contents, and use of metadata

Hands-on experience with R natural language processing packages, including tidytext, tm, and quanteda

Familiarity with term frequency, stemming, n-grams, and lemmatization

Understanding of parts of speech and ability to apply it to natural language research

The ability to use tf-idf to identify documents corresponding with terms

What You'll Learn

Working knowledge of natural language processing, including sentiment analysis, statistical analysis of corpus contents, and use of metadata

Course Content

Before We Begin

Get familiar with natural language processing using R, focusing on practical application and foundational skills.

Introduction to the Course

Key Skills for Success

Important Concepts in Natural Language Processing

Understand crucial NLP concepts like tokenization, sentiment analysis, tf-idf, and R packages.

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

Break apart the tm package in R for effective text mining and NLP tasks.

Installation and Documentation Using the File Folder as Corpus

Understanding Corpora and Sources

Enhance your skills in understanding corpora, corpus classes, and source types in R.

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

Map out the steps for converting and cleaning text for structured data analysis.

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

Document Insights and Advanced Search Techniques

8 Lessons

Focus on R techniques for tokenization, stemming, DTMs, tf-idf, n-grams, and visualization.

Working with Metadata in the tm Package

4 Lessons

Learn how to improve metadata management in text analysis using the R 'tm' package.

Implementing NLP with the quanteda Package

7 Lessons

Learn how to use the quanteda package for advanced text analysis and sentiment evaluation.

Implementing NLP with the tidytext Package

7 Lessons

Get started with text mining in R using the tidytext package for comprehensive NLP tasks.

Assess What You Have Learned About NLP

Assessment

10.

Concluding Remarks

1 Lesson

Examine your achievements in text mining, sentiment analysis, and NLP with R.

11.

Appendix

1 Lesson

Find out about sample file sources and key public domain novels used in the course.

Course Author

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Anthony Walker

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Emma Bostian 🐞

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Evan Dunbar

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Carlos Matias La Borde

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Vinay Krishnaiah

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Eric Downs

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DevOps Engineer

Anthony Walker

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Emma Bostian 🐞

@EmmaBostian

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