Performing Natural Language Processing with R
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Explore natural language processing techniques using R, focusing on text analysis, sentiment analysis, and machine learning applications.
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.
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