Artículo: AMZ-B0F3Y11Z54

C++ Natural Language Processing: Complete Guide to Text Processing | Create 10 NLP Applications | Including NLTK Projects

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Sobre este producto
  • Core concepts of NLP: tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, and more
  • How to use advanced C++ libraries such as Boost, ICU, and even integrate with NLTK via Python bindings
  • Text preprocessing techniques for large-scale corpora: stemming, lemmatization, Unicode handling, and multilingual support
  • Efficient handling of massive datasets with memory-mapped files, multithreading (OpenMP), and optimized string operations
  • How to deploy NLP models with Docker, Kubernetes, and cloud services
  • Security, encryption (using Microsoft SEAL), and privacy-aware NLP development
  • A custom tokenizer for large-scale document processing
  • A real-time POS tagger using rule-based and statistical models
  • A named entity recognition system with regex and machine learning
  • A sentiment analysis engine for financial news
  • An extractive text summarizer using PageRank
  • A machine translation API with Transformer support
  • A speech-to-text transcription tool
  • A spam email detection system
  • An AI-powered content generator using RNNs
  • An enterprise chatbot for automated customer service
  • Industry case studies in finance, healthcare, and cybersecurity
  • Future trends in C++ NLP, including transformer integration and real-time streaming
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