The book is a comprehensive guide for learning and applying Natural Language Processing (NLP) techniques using Python. The book focuses on practical implementations and offers a hands-on approach to working with text data using the powerful Python library, NLTK (Natural Language Toolkit). Introduction to NLP: Provides a solid foundation in the concepts of NLP, including tokenization, stemming, and part-of-speech tagging. Text Processing: Explains how to manipulate and analyze text data, including text classification, parsing, and named entity recognition (NER). Working with NLTK: Demonstrates the use of NLTK for various NLP tasks such as creating corpora, analyzing sentence structures, and building simple chatbots. Text Mining and Search: Covers techniques like information retrieval, web scraping, and building search engines. Language Models: Introduces the concept of statistical and machine learning models for NLP tasks like sentiment analysis and topic modeling. Practical Projects: Provides real-world examples and projects, including creating applications for sentiment analysis and automatic summarization. This book is an invaluable resource for anyone interested in exploring the field of NLP with Python. Whether you’re a beginner or an experienced developer, it provides the tools and techniques necessary to process and analyze text data, enabling readers to build sophisticated NLP applications.

Mã ngôn ngữ:	eng
Chỉ số phân loại:	005.133
Tác giả:	Bird, Steven Klein, Ewan Loper, Edward
Thông tin nhan đề:	Natural Language Processing with Python
Xuẩt bản,phát hành:	UK. O’Reilly Media 2009
Mô tả vật lý:	479p.
Từ khóa:	Natural Language Processing. Python

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