tokenize text documents to examine top words by frequency
examine the change in type to token ratio or level of text complexity over time
By the end of this project, you will learn about the concept of lexical style in textual analysis in R. You will know how to load and pre-process a data set of text documents by converting the data set into a corpus and document feature matrix. You will know how to calculate the type to token ration which evaluates the level of complexity of a text, and know how to isolate terms of particular lexical interest in a text and visualize the variation in frequency of such terms in texts over time.
Descriptive Analysis
Text Analysis
Data Wrangling
Data Visualization (DataViz)
Text Corpus
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Load textual data into R and turn it into a corpus object and understand the concept of lexical style in textual analysis
Extract meta-data from text document filenames and calculate the type to token ratio (TTR)
Examine the change in the type to token ratio or level of text complexity over time
Tokenize text documents to examine top words by frequency of appearance and isolate words of particular lexical interest in the text
Visualize the change in the variation in the frequency of features of particular lexical interest in your text
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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