Loading...
Please wait a moment
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.
Which format do you prefer?
30 free minutes with a training advisor — no commitment.
Loading available slots...
Master influence and persuasion skills for 2026 with proven strategies, emerging tech, and practical exercises tailored for professional growth in a dynamic world.
Artificial Intelligence training in Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Mesa in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
No-Code / Low-Code training in Leeds in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtrise de TextBlob pour l’analyse et le traitement de texte avec Python, vos projets d’automatisation textuelle stagnent, limités à des méthodes manuelles lentes et imprécises.
Une entreprise perd en moyenne 40% de productivité sur ses analyses de données clients, avec des erreurs de sentiment analysis coûtant jusqu’à 75 000 € par campagne marketing ratée.
70% des data analysts intermédiaires subissent des retards critiques dus à un NLP inadapté, compromettant la compétitivité et exposant à des pertes de parts de marché.
Chaque trimestre sans ces compétences aggrave les risques, transformant des opportunités en échecs coûteux.
The Maîtriser TextBlob pour l’Analyse et le Traitement de Texte 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 TextBlob pour l’Analyse et le Traitement de Texte 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 TextBlob pour l’Analyse et le Traitement de Texte 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.
Panorama du TAL ; introduction à TextBlob et son installation ; découverte des classes fondamentales (`TextBlob`, `Word`, etc.) ; premières manipulations : charger, afficher, convertir du texte. Nettoyage de bases de textes avec TextBlob. Exercices guidés sur l’import et la manipulation de corpus variés.
Tokenisation (phrase et mot), suppression des stopwords, lemmatisation, correction orthographique automatique avec TextBlob. Cas pratiques sur la création d’un pipeline de prétraitement adapté à différents jeux de données : commentaires clients, tweets, articles. Introduction au tagging grammatical avec TextBlob.
Extraction d’entités nommées, identification de mots-clés. Analyse de sentiment (polarity, subjectivité), classification de texte simple grâce aux outils TextBlob. Introduction à l’entraînement d’un classifieur de texte. Cas pratique : évaluation d’un set de commentaires clients et restitution des résultats sous forme de synthèse ou data visualisation intégrable (Pandas, Matplotlib).
Target audience
Développeurs, data analysts, professionnels du marketing, chercheurs souhaitant automatiser l’analyse textuelle
Prerequisites
Bases de Python et connaissance élémentaire du format texte (txt/csv)
Loading...
Please wait a moment






























Discover a step-by-step roadmap to become a skilled AI engineer by March 2026. From prerequisites to advanced projects, tools, and job strategies, this guide covers everything for aspiring professionals.
Software Development training in Louisville in January 2025 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.