NLP Tools Overview 🤖

Natural Language Processing (NLP) tools are essential for text analysis, language modeling, and AI applications. Here’s a guide to key resources and utilities in this domain:

Text Processing Utilities

• Tokenizer 📖
  Splits text into words or subwords. Learn more → /en/nlp_tutorials
• Lemmatizer 🧠
  Reduces words to their base form. Example → /en/lemmatizer_demo
• Stemmer 🔍
  Shortens words to their root. Compare → /en/stemming_vs_lemmatization

Machine Learning Models

• BERT 📈
  Pre-trained transformer for contextual understanding. Explore → /en/bert_model
• spaCy 🧩
  Library for advanced NLP pipelines. Get started → /en/spacy_guide
• NLTK 📊
  Toolkit for linguistic research and tasks. Documentation → /en/nltk_reference

Language Understanding Tools

• Sentiment Analyzer 😊/😢
  Detects emotion in text. Try it → /en/sentiment_tool
• Named Entity Recognizer 🧾
  Identifies key entities like people, organizations. Demo → /en/ner_tool
• Syntax Parser 📜
  Analyzes sentence structure. Tutorial → /en/syntax_analysis

For deeper insights, check our NLP Fundamentals Guide to understand core concepts. 🚀