Quantitative Text Analysis and Evaluating Lexical Style in R

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Coursera Project Network
在此指導項目中,您將:

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
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 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.

您要培養的技能

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

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 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

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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