tidytext Basics

Key concepts of tidytext

tidytext is designed to streamline specific text analysis tasks, making it a valuable tool for text mining and natural language processing. It is focused on a limited but important set of tasks, such as:

• Tokenization: tidytext helps us break down text documents into individual words or tokens. The unnest_tokens() function is commonly used for this purpose, allowing us to specify how we want to tokenize our text (such as by word or by sentence).

• Sentiment analysis: tidytext includes functions for performing sentiment analysis on text data. We can use prebuilt sentiment lexicons, such as the Bing or AFINN lexicons, or create custom lexicons. The get_sentiments() function retrieves sentiment lexicons, and the ...