NLP Pipeline Explained: From Raw Data to Feature Engineering (Tokenization, NER, & More)
Ever wondered how ChatGPT processes your questions? It all starts with a robust NLP Pipeline! This complete guide walks you through every stage: Text Cleaning (removing URLs & HTML), Preprocessing (Tokenization, Stop Words, Lemmatization), Feature Engineering (TF-IDF & Embeddings), Model Building, and Advanced Analysis (POS Tagging, NER, and Dependency Parsing). Includes real Python code examples for every stage to help you build production-ready NLP systems!
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