Tutorials

This folder will contain tutorial notebooks to guide you in learning how to code with Lexos. Each tutorial will provide its own sample dataset, along with running commentary following the literate programming paradigm.

Each tutorial notebook should be downloaded in your chosen notebook environment (Jupyter Lab, VS Code, Google Colab, etc.). Make sure that you have Lexos installed in your environment.

Here is a list of the currently available tutorials, organised by module:

Cluster

• Dendrograms (Hierarchical Agglomerative Clustering): 📓 Notebook | 🗄️ Data
• Clustermaps (Hierarchical Agglomerative Clustering): 📓 Notebook | 🗄️ Data
• Bootstrap Consenus Trees (Hierarchical Agglomerative Clustering): 📓 Notebook | 🗄️ Data
• K-Means Clustering: 📓 Notebook | 🗄️ Data

Corpus

• Corpus Tutorial: 📓 Notebook
• SQLite Tutorial: 📓 Notebook

Cutter

• Text Cutter and Token Cutter: 📓 Notebook | 🗄️ Data

DTM

• Making and Using a Document-Term Matrix: 📓 Notebook | 🗄️ Data

Filter

• Filter Tutorial: 📓 Notebook

IO

• Loading Data: 📓 Notebook | 🗄️ Data

Keywords in Context (KWIC)

• Keywords in Context (KWIC): 📓 Notebook

Milestones

• Using Milestones: 📓 Notebook

Rolling Windows

• Using Rolling Windows: 📓 Notebook | 🗄️ Data

Scrubber

• Using Scrubber: 📓 Notebook
• Scrubbing Markup Tags: 📓 Notebook

Tokenizer

• Using Tokenizer: 📓 Notebook

Topic Modeling

• Mallet Topic Modeling Tutorial: 📓 Notebook | 🗄️ Data

TopWords

• TopicWords Tutorial: 📓 Notebook
• Evaluating Key Terms with the Mann-Whitney U Test: 📓 Notebook

Visualization

• Word Clouds: 📓 Notebook