YoVDO

Quantitative Text Analysis and Scaling in R

Offered By: Coursera Project Network via Coursera

Tags

R Programming Courses Data Visualization Courses

Course Description

Overview

By the end of this project, you will learn about the concept of document scaling 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 run an unsupervised document scaling model and explore and plot the scaling outcome.

Syllabus

  • Project Overview
    • By the end of this project, you will learn about the concept of document scaling 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 run an unsupervised document scaling model and explore and plot the scaling outcome. 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 scale documents in text analysis.

Taught by

Nicole Baerg

Related Courses

Statistics One
Princeton University via Coursera
Introduction to Computational Finance and Financial Econometrics
University of Washington via Coursera
Curso Práctico de Bioestadística con R
Universidad San Pablo CEU via Miríadax
Análisis Estadístico de datos con R
Universidad Católica de Murcia via Miríadax
Data Analysis with R
Facebook via Udacity