Introduction au NLP
Course
360 Learners Already enrolled- Comprendre les fondamentaux du prétraitement de texte, y compris la tokenisation et la suppression des mots vides.
- Comprendre le processus de stemming et de lemmatisation pour les données textuelles.
- Découvrir les modèles de texte de base et comment représenter efficacement l'information textuelle.
- Se familiariser avec les embeddings de mots et la mise en œuvre de Word2Vec.
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There are 6 modules in this course
Explorons les fondamentaux du Traitement Automatique du Langage Naturel (NLP) en vous plongeant dans les techniques de prétraitement de texte et divers modèles de texte utilisés pour représenter les données textuelles. Vous acquerrez des connaissances pratiques et une expérience pratique avec les outils et méthodes essentiels pour analyser et interpréter efficacement les données textuelles. Ce cours vous dote des compétences nécessaires pour transformer le texte brut en informations significatives, ouvrant la voie à des applications avancées en IA et apprentissage automatique.- NLP et Ses ApplicationsPreview
- Comprendre le Prétraitement du TextePreview
- TokenisationPreview
- Défi : Tokenisation d'une PhrasePreview
- Tokenisation à l'Aide d'Expressions RégulièresPreview
- Défi : Tokenisation en Utilisant RegexPreview
- Suppression des Mots VidesPreview
- Appliquer le Prétraitement du Texte en PratiquePreview
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5
Reviewed on Dec 21, 2024
Good quality, detailed and comprehensive.
Krisztina Biró
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Reviewed on Apr 29, 2024
Great lesson!
Recommended if you're interested in learning Python
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