Model training
The goal of model training is to fit the best combination to a machine learning algorithm to optimize it. The purpose is to build the best mathematical representation of the relationship between data features and a target label.
Regular expression
Sequence of symbols and characters expressing a string or pattern to be searched for within a longer piece of text.
Annotate data
In named Entity Recognition (NER), data annotation consists in locating, extracting and tagging proper names entities in text. Entity annotation teaches NLP models how to identify named entities within a text.
Recent Posts
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Rencontrez Terranoha à l’ECE Paris 2024 :
septembre 26, 2024 -
Reconnaissance de texte OCR
septembre 19, 2024 -
Optimisation de la distribution FX avec
septembre 6, 2024