Quantitative Text Analysis and Measures of Readability in R

提供方
Coursera Project Network
在此指導項目中,您將:

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
Beginner初級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

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

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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.

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

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常見問題

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