Installation | Validating Topic Models | Word intrusion test | Word set intrusion test | Topic intrusion test | Suggested workflow | About the p-values | About Biterm Topic Model | About Naive Bayes | Validating Dictionary-based Methods | Creating gold standard | Example: Validating AFINN using the gold standard | Backward compatibility | References

A primer on URLs | "WHATWG compliant" | Parsing urls | Public suffic extraction

Create an oolong test | Deploy the test online | Conduct the test | Revert

Installation | S3 class wt_dt | Preprocessing | Classification | Summarizing and aggregating | Example code

Supported file formats | Data Import | Importing Data Lists | Data Export | File Conversion

Remapping | Ellipsis or "dot dot dot"

Requirement #1: Keep your quanteda corpus | Requirement #2: Keep your data frame | Pecularities of BTM | Oolong's support for BTM

Google Colab and similar services | Default Python | Use conda, but not the grafzahl's default | With Cuda | Without Cuda | Explanation: Important options and envvars

Examples | arff | ledger

Authenticate | Instances | Get toots | Get accounts | Posting statuses | Pagination

Specifying parameters | Streaming and parsing

Obtain and use a token | Environment variable