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Python Natural Language Processing: Analyze Text and Build Language Understanding Systems with Hands-On Exercises
Unlock the potential of natural language processing (NLP) with “Python Natural Language Processing: Analyze Text and Build Language Understanding Systems with Hands-On Exercises.” This comprehensive guide provides you with the knowledge and tools to analyze text, build language understanding systems, and perform text classification using Python. Perfect for beginners and experienced programmers alike, this book offers step-by-step instructions, practical examples, and hands-on exercises to help you master NLP.
Inside this essential guide, you’ll discover:
Introduction to Natural Language ProcessingUnderstanding NLP: Learn what NLP is, its importance, and how it is used in various applications such as sentiment analysis, chatbots, and machine translation.Setting Up Your Environment: Get started with Python installation, setting up your development environment, and installing essential NLP libraries such as NLTK, spaCy, and Scikit-learn.Basic Concepts and TechniquesText Preprocessing: Discover techniques for text preprocessing, including tokenization, stemming, lemmatization, and stop-word removal, to prepare text data for analysis.Part-of-Speech Tagging: Learn how to perform part-of-speech tagging to understand the grammatical structure of sentences.Text Analysis and UnderstandingNamed Entity Recognition (NER): Extract important entities such as names, dates, and locations from text using NER techniques.Dependency Parsing: Understand the syntactic structure of sentences through dependency parsing.Building NLP SystemsText Classification: Learn how to build text classification systems for tasks such as spam detection, sentiment analysis, and topic classification.Example Project: Build a sentiment analysis system to classify text as positive or negative using machine learning algorithms.Language Models: Explore language models and how they can be used for tasks such as text generation and machine translation.Hands-On ExercisesPractical Projects: Engage in hands-on exercises and projects that reinforce your understanding of NLP concepts and techniques.Exercise 1: Perform text preprocessing on a dataset of tweets and visualize the most common words.Exercise 2: Build a named entity recognition system to extract entities from news articles.Exercise 3: Develop a text classification model to categorize emails as spam or not spam.Advanced NLP TechniquesWord Embeddings: Learn about word embeddings such as Word2Vec and GloVe, and how they capture semantic meaning in text.Transformers and BERT:Evaluation and OptimizationModel Evaluation: .Hyperparameter Deploying NLP ModelsModel Deployment: Understand the steps to deploy your NLP models in real-world applications, including creating APIs and integrating with web applications.Case Study: Explore a case study of deploying a sentiment analysis system in a customer feedback application.Real-World ApplicationsIndustry Use Cases:Future Trends in NLP:
“Python Natural Language Processing: Analyze Text and Build Language Understanding Systems with Hands-On Exercises” is your ultimate guide to mastering NLP with Python. Whether you’re looking to enhance your skills, build innovative applications, or advance your career, this book provides you with the knowledge and practical experience to succeed.
ASIN : B0D9WR3HYJ
Publication date : July 21, 2024
Language : English
File size : 1694 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 141 pages
