Quantitative Text Analysis and Measures of Readability in R

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

Estimate the readability of a text document or corpus of documents.

Plot the variation in readability levels in a text corpus 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 be able to load textual data into R and turn it into a corpus object. You will also understand the concept of measures of readability in textual analysis. You will know how to estimate the level of readability of a text document or corpus of documents using a number of different readability metrics and how to plot the variation in readability levels in a text document corpus over time at the document and paragraph level. This project is aimed at beginners who have a basic familiarity with the statistical programming language R and the RStudio environment, or people with a small amount of experience who would like to learn how to measure the readability of textual data.

Habilidades que desarrollarás

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

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. You will also understand the concept of measures of readability in textual analysis.

  2. Estimate the level of readability of a text document or corpus of documents using a number of different readability metrics

  3. Prepare the textual data for plotting by extracting key information from text document filenames and combining these with readability data in a dataframe.

  4. Plot the variation in readability levels in a text document corpus over time.

  5. Reshape the data to paragraph level and plot the distribution of readability over time by paragraph.

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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