Quantitative Text Analysis and Evaluating Lexical Style in R

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Coursera Project Network
在此指导项目中,您将:

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初级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

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

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  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

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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