Performing Natural Language Processing with R

Performing Natural Language Processing with R

Intermediate

50 Lessons

9h

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

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

Show more

Course Content

1.

Before We Begin

2.

Important Concepts in Natural Language Processing

3.

Text Mining Package

4.

Understanding Corpora and Sources

5.

Converting Text to Structured Data

6.

Document Insights and Advanced Search Techniques

8 Lessons

7.

Working with Metadata in the tm Package

4 Lessons

8.

Implementing NLP with the quanteda Package

7 Lessons

9.

Implementing NLP with the tidytext Package

7 Lessons

Assess What You Have Learned About NLP

Assessment

10.

Concluding Remarks

1 Lesson

11.

Appendix

1 Lesson

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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