Glossary
Terms used in accessibility research and practice. Each entry has a definition, common aliases, and category tags.
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- Topic Modeling(also: LDA, Latent Dirichlet Allocation)
- A machine learning technique that automatically discovers abstract themes or topics within a collection of documents by analyzing patterns of word co-occurrence. Latent Dirichlet Allocation (LDA) is the most widely used topic modeling algorithm. In accessibility research, topic…
- Training Data(also: Training Set, Training Dataset)
- The collection of labeled examples used to teach a machine learning model to perform a specific task. The quality, quantity, and diversity of training data directly determine how well a model will perform. In accessibility contexts, training data quality is especially important…
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