Resources

Course primer

Start with Text as Data in Six Steps. It is the course’s short conceptual alternative to a dense textbook chapter.

The R foundations assignment lists the required Swirl lessons, DataCamp chapters, deadlines, and how completion is checked. The course corpora guide explains what data we will use and when it is released. Prepared teaching files are downloaded from their corpus cards, starting with the presidential-speeches corpus. The larger NLP Corpora for Korean Studies catalog remains an optional reference.

Setup guides

• GitHub getting started walks through the private repository, GitHub Desktop, the first commit, and the first push using the exact course naming convention.
• Start Here remains the authoritative pre-course checklist for GitHub, R/RStudio, and Orange.
• Korean preprocessing script and stopword file are downloads on the Corpora page, for Orange’s Python Script widget and Preprocess Text.

• Student repository template supplies the course folders and documentation files used during the Session 1 demonstration.

  Orange Data Mining

  • Install and get started with Orange

    The official route to installation instructions, workflow examples, the widget catalog, and tutorials. Install Orange, then add Text Mining from Options → Add-ons.

    Required Installation 15–30 min Checked 2026-08-23
  • Text Preprocessing

    Current official walkthrough of tokenization, stopwords, normalization, and corpus inspection.

    Required Session 2 Short video Checked 2026-08-26
  • Bag of Words

    Official walkthrough of count, binary, and TF-IDF representations in Orange’s Bag of Words widget.

    Required Session 3 Short video Checked 2026-08-26
  • Hierarchical Clustering

    The interface is older, but the explanation remains useful. Use the current widget documentation for the exact steps.

    Required Session 4 8 min Checked 2026-08-22
  • Document Clustering and Cluster Exploration

    Clusters Grimm’s fairy tales with TF-IDF, cosine distance, and hierarchical clustering, the same steps as the Session 4 workflow.

    Required Session 4 4 min Checked 2026-10-08
  • Sentiment Analysis

    Official walkthrough of Orange’s dictionary-based sentiment workflow. The class demonstration uses a supplied corpus.

    Required Session 5 4 min Checked 2026-10-10
  • Getting Started with Orange 18: Text Classification

    Trains and tests a classifier that assigns texts to categories chosen in advance.

    Required Session 5 4 min Checked 2026-10-10
  • Topic Modelling and LDAvis

    Current widget documentation for inspecting topics, term relevance, and topic prevalence.

    Required Session 6 Short documentation Checked 2026-08-26
  • Text Mining widget catalog

    Current documentation for Corpus, Preprocess Text, Bag of Words, embeddings, sentiment, and topic modeling.

    Optional Reference As needed Checked 2026-08-26
  • Orange Data Mining YouTube channel

    The complete official video library includes beginner workflows and specialized text-mining demonstrations. Use it for review or troubleshooting. The channel is not a required playlist.

    Optional Tutorial library As needed Checked 2026-08-22

  R and RStudio

  • Install R

    Choose your operating system from the official R Project download page and install R before installing RStudio.

    Required Installation · step 1 10–20 min Checked 2026-08-22
  • Install RStudio Desktop

    After R is installed, use Posit’s stable RStudio Desktop installer. Open RStudio and run 1 + 1 in the Console to verify the setup.

    Required Installation · step 2 10–20 min Checked 2026-08-22
  • Swirl student guide

    Complete R Programming lessons 1, 2, 4, 6, 7, and 12 before Session 2. Upload one completion screenshot per lesson, using the six filenames on the Assignments page.

    Required R foundations About 2–3 hours for the assigned lessons Checked 2026-08-23
  • Introduction to R

    Create or sign into a DataCamp account. The course classroom invitation arrives after Session 1. Complete all six chapters in the three assigned blocks. No screenshot upload is required.

    Required R foundations About 4 hours across three blocks Checked 2026-08-23
  • Intermediate R

    Complete all five chapters across the two assigned blocks. Completion is recorded in the DataCamp classroom. No screenshot upload is required.

    Required R foundations About 6 hours across two blocks Checked 2026-08-23
  • Text Mining with R: A Tidy Approach

    A readable open reference for the R-only track. The full book is not assigned.

    Optional Optional R reference Selected sections Checked 2026-08-22

  GitHub and FAIR

  • Hello World

    Optional broader background on repositories, commits, branches, and pull requests. Use the course-specific GitHub guide for required setup.

    Optional GitHub 15 min Checked 2026-08-22
  • FAIR Principles

    The course translates these principles into concrete file, metadata, and provenance practices.

    Optional Research organization Reference Checked 2026-08-22
  • NLP Corpora for Korean Studies

    A documented catalog of Korean-language and Korea-focused corpora. Hackathon data will use an instructor-approved, prepared subset.

    Optional Corpus catalog Reference Checked 2026-08-22

  Text-as-data supplements

  • Analyzing Documents with TF-IDF

    Useful conceptual context. The Python exercises are not required.

    Optional Optional concept supplement Selected introduction only Checked 2026-08-22

How tutorials are selected

Required Orange videos must be official and short. When a useful explanation shows an older interface, use the current widget documentation for the exact steps. Required video preparation should stay under 20 minutes per session. Allow additional time for readings, setup, and R foundations exercises. The full official YouTube channel is a tutorial library. Students are not expected to watch it in sequence.