Week 2 Deliverable: From Raw Text to Visual Patterns

Course: Topical Reading: Digital Humanities (BA3 Korean Studies)
Date: October 17
Instructors: Aron van der Pol & Steven Denney

Objective

Recreate the in-class DEMO (Oct 17) workflow to understand how preprocessing affects text representation and visualization in Orange Data Mining (ODM).

Tasks

1. Replicate the DEMO workflow
   • Import the provided .csv corpus.
   • Apply basic preprocessing and other steps in ODM.
   • Create a Word Cloud and a Bar Chart of Word Frequencies.
   • For the bar chart, select one word of personal or analytical interest and explore its relative frequency.
2. Document your workspace
   • Screenshot your Orange canvas showing the full workflow:
   • Screenshot or export both the Word Cloud and Bar Chart outputs.
3. Write your reflection (README.md)
   • Explain briefly what you did, why you did it, and what you learned about preprocessing and visualization.
   • Around 200 words is fine. You can write more.
4. Save your .ows file (this is your ODM file/workflow).

Deliverables

Place the following files in your GitHub repo folder for week02 assignment:

Folder structure:

/week02/
│
├── workflow_screenshot.png
├── wordcloud.png
├── barchart.png
├── week02.ows
└── README.md

Optional (R Track)

For students in the R Programming extension, complete:
DataCamp – Introduction to Text Analysis in R

• Module 1: Wrangling Text
• Module 2: Visualizing Text

R track assignments are due before the next class.