Quantitative Text Analysis and Measures of Readability in R

提供:
Coursera Project Network
このガイド付きプロジェクトでは、次のことを行います。

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ダウンロード不要
Video分割画面ビデオ
Comment Dots英語
Laptopデスクトップのみ

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.

あなたが開発するスキル

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

ステップバイステップで学習します

ワークエリアを使用した分割画面で再生するビデオでは、講師がこれらの手順を説明します。

  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.

ガイド付きプロジェクトの仕組み

ワークスペースは、ブラウザに完全にロードされたクラウドデスクトップですので、ダウンロードは不要です

分割画面のビデオで、講師が手順ごとにガイドします

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