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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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Sans maîtrise du traitement automatique du langage naturel avec NLTK en Python, vos analyses de texte restent primitives et manuelles, gaspillant des heures précieuses en prétraitement inefficace.
Les entreprises perdent en moyenne 40% de productivité sur les projets data, avec des erreurs de tokenisation ou de stemming coûtant jusqu'à 25 000 € par incident en retards et refontes.
70% des échecs en modélisation prédictive textuelle sont liés à ce manque, menaçant la compétitivité et exposant les data scientists à un risque de stagnation carrière de 50% en promotions manquées.
Chaque mois sans expertise NLTK amplifie les pertes business face à une concurrence automatisée.
The Maîtriser NLTK : Le Traitement Automatique du Langage Naturel avec Python training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Maîtriser NLTK : Le Traitement Automatique du Langage Naturel avec Python training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Maîtriser NLTK : Le Traitement Automatique du Langage Naturel avec Python training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Expert
€2,100.002 journées
distanciel10 pers. max.Intermédiaire€3,150.003 journéesdistanciel10 pers. max.Avancée€4,200.004 journéesdistanciel10 pers. max.Avancée€2,100.002 journéesdistanciel10 pers. max.Présentation du NLP, cas d'usages, survol des grandes étapes du traitement de la donnée textuelle, installation de NLTK, découverte de son écosystème, prise en main des principaux corpus et jeux de données, premiers scripts d'analyse de texte avec NLTK.
Tokenization avancée (phrases et mots), suppression des stopwords, techniques de nettoyage textuel, stemming, lemmatisation, étiquetage grammatical (POS Tagging), structures syntaxiques et parsing, gestion des encodages, traitement multilingue, exercices pratiques pour structurer et standardiser des textes complexes.
Extraction de mots-clés et de syntagmes nominaux, statistiques textuelles (TF/IDF, cooccurrences), concordances, analyse de sentiments, modèles de classification de texte (Naive Bayes, classification supervisée), pipeline complète NLP, intégration d'NLTK dans une application Python, perspectives vers SpaCy et les usages industriels, bilan, conseils pour aller plus loin.
8 participants max.
$3,960 / per person
3 days
distancielTarget audience
Développeurs, data scientists, ingénieurs et chercheurs désirant automatiser l'analyse et le traitement de texte avec Python
Prerequisites
Connaissances de base en Python et des notions sur la manipulation de données
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