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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

9h

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
Course Overview
What You'll Learn
Course Content
Recommendations

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
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, s...Show More

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

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Course Content

1.

Before We Begin

2 Lessons

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

3.

Text Mining Package

2 Lessons

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

4.

Understanding Corpora and Sources

4 Lessons

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

5.

Converting Text to Structured Data

4 Lessons

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

7.

Working with Metadata in the tm Package

4 Lessons

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

8.

Implementing NLP with the quanteda Package

7 Lessons

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

9.

Implementing NLP with the tidytext Package

7 Lessons

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

11.

Concluding Remarks

1 Lessons

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

12.

Appendix

1 Lessons

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

Course Author

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