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This beginner-friendly guide to R Natural Language Processing (NLP) provides step-by-step tutorials and source code to help users analyze and process textual data using R. Covering fundamental concepts such as text preprocessing, tokenization, sentiment analysis, topic modeling, and named entity recognition, it introduces key R packages like tm, tidytext, and quanteda for effective NLP tasks.
Through hands-on coding examples, learners will explore how to clean, visualize, and extract insights from large text datasets.
Whether you're new to NLP or looking to apply machine learning techniques to textual data, this resource equips you with the essential tools to build powerful NLP models using R.