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

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En stock

Peso con empaque:
0.39 kg

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Sí

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Producto de:
Amazon

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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AR$38.602

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AR$21.447

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

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