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Applied NLP with Python: Text Cleaning, Embeddings, and Real-World Use

by Amara Hawthorn
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Current price ₹1,592.00
Original price ₹1,765.00
Original price ₹1,765.00
Original price ₹1,765.00
(-10%)
₹1,592.00
Current price ₹1,592.00

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Book cover type: Paperback
  • ISBN13: 9798245472331
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 236
  • Original Price: GBP 13.95
  • Language: English
  • Edition: N/A
  • Item Weight: 323 grams
  • BISAC Subject(s): Languages / Python

Natural Language Processing (NLP) is powering search engines, chatbots, recommendation systems, sentiment analysis, and large language models-but most books stop at theory.

Applied NLP with Python is a practical, hands-on guide designed to help you move from messy, unstructured text to production-ready NLP solutions using Python.

Whether you're a data scientist, machine learning engineer, software developer, or researcher, this book shows you how NLP actually works in the real world-from cleaning noisy text to building embeddings and deploying meaningful applications.

What you'll learn:
  • Clean, normalize, and preprocess real-world text data

  • Handle tokenization, stemming, lemmatization, and stopwords effectively

  • Build and evaluate text features using traditional and modern approaches

  • Understand and implement word, sentence, and document embeddings

  • Work with TF-IDF, Word2Vec, GloVe, FastText, and transformer-based embeddings

  • Apply NLP techniques to classification, clustering, similarity search, and sentiment analysis

  • Design scalable NLP pipelines using Python libraries such as NLTK, spaCy, scikit-learn, and transformers

  • Translate theory into business-ready NLP use cases

Why this book stands out:
  • Focuses on applied NLP, not abstract math
  • Uses clean, readable Python code throughout
  • Covers both classic techniques and modern embedding methods
  • Emphasizes real-world datasets and problems
  • Ideal bridge between beginner tutorials and advanced NLP systems
Who this book is for:
  • Data scientists and analysts working with text data

  • Python developers entering NLP or AI

  • Machine learning practitioners seeking practical NLP skills

  • Students and professionals preparing for real-world NLP projects

No unnecessary theory. No black-box explanations.

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