Quantitative Text Analysis and Evaluating Lexical Style in R

ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

tokenize text documents to examine top words by frequency

examine the change in type to token ratio or level of text complexity over time

Clock1 hour
BeginnerPrincipiante
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

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.

Habilidades que desarrollarás

  • Descriptive Analysis
  • Text Analysis
  • Data Wrangling
  • Data Visualization (DataViz)
  • Text Corpus

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Load textual data into R and turn it into a corpus object and understand the concept of lexical style in textual analysis

  2. Extract meta-data from text document filenames and calculate the type to token ratio (TTR)

  3. Examine the change in the type to token ratio or level of text complexity over time

  4. Tokenize text documents to examine top words by frequency of appearance and isolate words of particular lexical interest in the text

  5. Visualize the change in the variation in the frequency of features of particular lexical interest in your text

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

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