Natural language processing

• Titel: Natural language processing
• Titelzusatz: machine learning models in Python
• Institutionen: Lazy Programmer (Firm), [MitwirkendeR]
• Institutionen: Packt Publishing, [Verlag]
• Ausgabe: [First edition].
• Verlagsort: [Birmingham, United Kingdom]
• Verlag: Packt Publishing
• E-Jahr: 2024
• Jahr: [2024]
• Umfang: 1 online resource (1 video file (5 hr., 12 min.))
• Illustrationen: sound, color.
• Fussnoten: Online resource; title from title details screen (O’Reilly, viewed July 1, 2024)
• ISBN: 978-1-83620-557-9
• ISBN: 1-83620-557-0
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Python (Langage de programmation)
• Sach-SW: Traitement automatique des langues naturelles
• Sach-SW: Instructional films
• Sach-SW: Nonfiction films
• Sach-SW: Internet videos
• Sach-SW: Films de formation
• Sach-SW: Films autres que de fiction
• Sach-SW: Vidéos sur Internet
• K10plus-PPN: 1899109102
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4568072271
• Lokale URL Inst.: Zum Volltext

Abstract

Embark on a journey through the world of text analytics with our expertly crafted course. Starting with an introduction and outline, you'll discover the foundational concepts and receive a special offer to get you started. The initial sections guide you through the setup process, ensuring you have all the resources and tips needed for success. Delve into the core of text analytics with dedicated sections on spam detection, sentiment analysis, text summarization, topic modeling, and latent semantic analysis. Each section begins with a problem description, followed by intuitive explanations of algorithms like Naive Bayes, logistic regression, and Latent Dirichlet Allocation. You'll engage with practical exercises designed to reinforce your understanding, and apply these techniques using Python in a hands-on manner. The course culminates with advanced topics and comprehensive summaries, ensuring you grasp both the theoretical and practical aspects of text analytics. By the end, you'll have a robust understanding of various NLP techniques and the confidence to apply them in real-world scenarios. This course is an essential resource for technical professionals looking to excel in the rapidly evolving field of natural language processing.