NLP From Zero to Hero

Have you always wanted to learn Natural Language Processing but felt intimidated by the complexity? NLP From Zero to Hero is the hands-on guide that finally makes NLP accessible to every beginner.This book covers the complete NLP journey across four structured chapters, each combining clear theory with working Python code you can run immediately in Jupyter Notebook. No prior NLP experience is required — just basic Python and introductory machine learning knowledge.What you will learn:Chapter 1 teaches you to clean and prepare raw text using NLTK and spaCy — tokenization, stopword removal, lemmatization, and Named Entity Recognition.Chapter 2 shows you how to convert text into numbers using Bag of Words and TF-IDF, then train your first Naive Bayes and Logistic Regression text classifiers.Chapter 3 introduces Word Embeddings and neural networks — you will train your own Word2Vec model, visualise semantic clusters, and build an LSTM text classifier.Chapter 4 takes you to the frontier of modern NLP with Transformers and Hugging Face — you will fine-tune DistilBERT and achieve state-of-the-art accuracy.The book includes four complete practice assignments using real datasets: IMDB Movie Reviews for sentiment analysis, SMS Spam Collection for spam detection, AG News for news classification, and a fully open-ended Capstone project where you build and deploy your own text classifier.Every concept is explained in plain English before the code is introduced. Every code block is annotated line by line. Every chapter ends with hands-on exercises that reinforce what you have just learned.If you are a student, aspiring data scientist, developer, or researcher who wants to work with text data professionally, this is the book that will take you from complete beginner to confident NLP practitioner.

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