Scénarios Métiers

Contexte :
A hospital system processes thousands of medical notes daily. They need a robust model to tag medical terms, requiring fine-tuned optimization to prevent overfitting on a large, noisy dataset.

Contexte :
A tech support chatbot needs to understand user intent from short, informal messages. The data contains slang and typos (sparse features), requiring a Stochastic Gradient Descent (SGD) approach for...

Contexte :
A hospital wants to automatically structure unstructured patient notes by identifying symptoms and medications using a pre-trained CRF model.

Contexte :
An e-commerce platform needs to tag named entities (Product Names, Brands) in thousands of daily customer reviews to analyze trends. Performance and stability on larger datasets are key.

Contexte :
A social media monitoring tool processes tweets that may be empty, contain special characters, or words not present in the training dictionary (Out-Of-Vocabulary).