Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing

Taweh Beysolow II

Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing

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商品描述

Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. 

Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment.


What You Will Learn  
  • Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim
  • Manipulate and preprocess raw text data in formats such as .txt and .pdf
  • Strengthen your skills in data science by learning both the theory and the application of various algorithms  

Who This Book Is For 

You should be at least a beginner in ML to get the most out of this text, but you needn’t feel that you need be an expert to understand the content.

商品描述(中文翻譯)

學習運用人工智慧進行自然語言處理，執行拼寫檢查、文字摘要、文件分類和自然語言生成等任務。在此過程中，您將學習實施這些方法於更大的基礎架構中，以取代現有的程式碼或創建新的演算法的技能。

《Python應用自然語言處理》首先回顧了必要的機器學習概念，然後討論了各種自然語言處理問題。閱讀本書後，您將具備在自己的專業環境中應用這些概念的能力。

您將學到以下內容：
- 利用TensorFlow、Keras、NLTK和Gensim等各種機器學習和自然語言處理庫
- 操作和預處理原始文本數據，如.txt和.pdf格式
- 通過學習理論和各種演算法的應用，增強您的數據科學技能

本書適合對機器學習至少有初步了解的讀者，但您不需要成為專家才能理解內容。

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