Getting Started with Natural Language Processing

Getting Started with Natural Language Processing is a hands-on guide filled with everything you need to get started with NLP in a friendly, understandable tutorial. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away.

By following the numerous Python-based examples and real-world case studies, you'll apply NLP to search applications, extracting meaning from text, sentiment analysis, user profiling, and more. When you're done, you'll have a solid grounding in NLP that will serve as a foundation for further learning.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

《自然語言處理入門》是一本實踐指南，內容豐富，讓您能夠友善且易懂地開始學習自然語言處理(NLP)。每個章節都包含了豐富的Python程式碼和實作專案，提供了具體的例子和實用技巧，讓您能夠立即應用於實踐中。

通過跟隨許多基於Python的例子和真實案例研究，您將能夠將NLP應用於搜索應用程式、從文本中提取意義、情感分析、用戶分析等領域。完成後，您將擁有扎實的NLP基礎，為進一步學習打下堅實的基礎。

購買印刷版書籍還包括一本免費的電子書，可在PDF、Kindle和ePub格式中獲得，由Manning Publications提供。

Ekaterina Kochmar is an Affiliated Lecturer and a Senior Research Associate at the Natural Language and Information Processing group of the Department of Computer Science and Technology, University of Cambridge. She holds an MA degree in Computational Linguistics, an MPhil in Advanced Computer Science, and a PhD in Natural Language Processing.

Ekaterina Kochmar 是劍橋大學計算機科學與技術系自然語言和信息處理組的聯合講師和高級研究員。她擁有計算語言學碩士學位、高級計算機科學碩士學位和自然語言處理博士學位。