C++ Programming for Natural Language Processing
By Theo Riven
Length5h 5m
About this audiobook
Learn how to use the speed and power of C++ to build practical natural language processing applications.
C++ Programming for Natural Language Processing is a hands-on guide for readers who want to understand how modern text analysis, language processing, and AI-powered applications can be built with C++. Starting from beginner-friendly C++ foundations, this book introduces variables, control flow, functions, data structures, file handling, and essential programming concepts before moving into real-world NLP techniques.
Readers will explore text preprocessing, tokenization, pattern matching, sentiment analysis, machine learning concepts, language-focused algorithms, and practical projects that show how C++ can be used for fast and efficient text processing. The book is designed to help learners connect core programming knowledge with real NLP applications.
Whether you are a student, programmer, AI learner, or developer interested in high-performance language technology, this guide provides a clear path from C++ basics to practical natural language processing projects.
Audiobook details
GenreTechnology
Length5 hrs 5 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateJun 12, 2026
LanguageEnglish
Table of contents
1Chapter 1: Introduction to C++ and the World of Natural Language Processing
2Why Choose C++ for NLP: Speed, Efficiency, and Real-Time Magic
3The Need for Speed in Text Processing
4Efficiency: Making Every Byte Count
5Real-Time Applications: Where NLP Meets the Moment
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6Overview of NLP Fundamentals: Text as Data, and Its Sneaky Challenges
7Text as Data: The Building Blocks
8Key NLP Tasks: From Basics to Insights
9Challenges in NLP: The Ambiguity Hurdle
10Setting Up Your Environment: Compilers, IDEs, and Essential Libraries
11Step 1: Install a Compiler – The Code Translator
12Step 2: Choose an IDE – Your Coding Command Center
13Step 3: Libraries – Boost for NLP Superpowers
14Hands-On: Building the "Hello NLP" Script – Your First Text Stats Analyzer
15Understanding the Script's Logic
16Step-by-Step Code Writing
17Extending with Boost (Optional First Taste)
18Real-World Applications: From Everyday Tools to Industry Powerhouses
19Everyday Wins: Personal Productivity Boosters
20Industry Heavy-Hitters: Speed Meets Scale
21Summary of Key Takeaways, Exercises, and Challenges
22Exercises for Practice
23Challenges to Level Up
24Chapter 2: C++ Basics: Variables, Control Flow, and Your First Programs
25Data Types: The Flavors of Your Ingredients
26Variables: Naming and Storing Your Data
27Operators: Mixing and Transforming Data
28Control Flow: Decisions and Repetition with Conditionals and Loops
29Loops: For and While – Repeating Tasks Efficiently
30Debugging Essentials and Common Pitfalls for Beginners
31Types of Errors
32Essential Debugging Tools
33Common Pitfalls and How to Avoid
34Hands-On: Writing Simple Programs and Building a Basic Word Counter
35Simple Program 1: Interactive Text Validator
36Simple Program 2: Repeated Input Processor
37Culminating Exercise: Basic Word Counter
38Real-World Applications: Text Processing in Everyday and Pro Tools
39Everyday: Personal Text Tools
40Pro: Industry-Scale Text Handling
41Summary of Key Takeaways, Exercises, and Challenges
42Exercises for Practice
43Challenges to Level Up
44Chapter 3: Functions, Pointers, and Modular Code Design
45Defining and Calling Functions: Breaking Code into Reusable Pieces
46What Are Functions? The Basics
47Calling Functions: Passing Arguments
48Pass-by-Value vs. Pass-by-Reference: How Data Flows In and Out
49Introduction to Pointers, Dynamic Memory, and Arrays: Flexible Data Handling
50Pointers: Addressing Memory Like Street Addresses
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