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.
50 Lessons
9h
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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 data, advanced search techniques, metadata, and how to use quanteda, and tidytext. With this information, you can expect to command in-demand skills in many text-processing-related fields.
This course will cover concepts in natural language processing (NLP). Developers will find this valuable because of the high dem...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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TAKEAWAY SKILLS

Natural Language Processing

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