Tokenization and text analysis
Explore a text preparation pipeline using tokenization, normalization and cleaning. Work through progressively more varied examples and inspect what each step changes.
Practical NLP topics for developers in Canada
Explore a text preparation pipeline using tokenization, normalization and cleaning. Work through progressively more varied examples and inspect what each step changes.
Study how labelled examples and embeddings support sentiment classification. Evaluate performance on text similar to the intended application, including Canadian English or French where relevant.
Explore the path from a user message to a response. Consider intent recognition, conversation state, context and fallback behaviour as parts of one application.
Understand word representations, Transformers and adapting pretrained models. Use project documentation to check implementation details and dependencies for your chosen tools.
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