WordPunctTokenizer and RegEx Tokenization in NLP| re Module, re.search(), re.findall(), re.compile()

🧠 **Regular Expressions in Python: WordPunctTokenizer, re.search(), re.findall() & Custom Tokenization | NeuralAICodeCraft**

Regular Expressions are the Swiss Army knife of text processing! Learn how to tokenize text, extract patterns, and build custom tokenizers.

📌 **What you'll learn:**

**REGEX BASICS**
▸ What are Regular Expressions?
▸ Metacharacters (., ^, $, *, +, ?, {}, [], \, |, (), )
▸ Character classes (\d, \w, \s, \D, \W, \S)
▸ Quantifiers and groups

**WORDPUNCTTOKENIZER (NLTK)**
▸ How WordPunctTokenizer works
▸ Splitting on ALL punctuation
▸ When to use vs word_tokenize()
▸ Use cases for word-level tokenization

**PYTHON re MODULE**
▸ `re.match()` - Match at beginning
▸ `re.search()` - Find anywhere
▸ `re.findall()` - Find all matches
▸ `re.finditer()` - Iterator over matches
▸ `re.sub()` - Replace patterns
▸ `re.split()` - Split by pattern
▸ `re.compile()` - Compile for performance

**CUSTOM TOKENIZERS**
▸ Creating tokenizers with RegEx
▸ Extracting emails, URLs, phone numbers
▸ Handling hashtags and mentions
▸ Building a complete preprocessing pipeline

📌 **Timestamps:**
0:00 - Introduction to Regular Expressions
2:00 - RegEx Metacharacters & Character Classes
5:00 - WordPunctTokenizer in NLTK
8:00 - re.match() vs re.search()
11:00 - re.findall() - Extract All Matches
14:00 - re.compile() for Performance
17:00 - re.sub() for Text Cleaning
20:00 - Custom Tokenizer with RegEx
23:00 - Extract Emails, URLs, Phone Numbers
27:00 - Complete NLP Preprocessing Pipeline
30:00 - Summary & Practice Problems

💻 **Code from this video:** [GitHub link: https://github.com/SaurabhPandey69/YouTube_NeuralAICodeCraft/tree/main/05_NLP_Basics/Tokenization]

🎯 **Practice Challenge:**
1. Create a tokenizer that extracts hashtags and mentions from tweets
2. Write a function to validate email addresses using RegEx
3. Build a custom tokenizer that keeps URLs intact

🔔 **Subscribe for more Python tutorials:** @NeuralAICodeCraft

📚 **Playlist:** Natural Language Processing (NLP) Mastery

#Regex #RegularExpressions #PythonRegex #reModule #WordPunctTokenizer #NeuralAICodeCraft #NLP

Видео WordPunctTokenizer and RegEx Tokenization in NLP| re Module, re.search(), re.findall(), re.compile() канала NeuralAICodeCraft