Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python

Akshay Kulkarni

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商品描述

Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification, topic modeling, text summarization, text generation, entity extraction, and sentiment analysis. 
 
Natural Language Processing Recipes starts by offering solutions for cleaning and preprocessing text data and ways to analyze it with advanced algorithms. You’ll see practical applications of the semantic as well as syntactic analysis of text, as well as complex natural language processing approaches that involve text normalization, advanced preprocessing, POS tagging, and sentiment analysis. You will also learn various applications of machine learning and deep learning in natural language processing.
 
By using the recipes in this book, you will have a toolbox of solutions to apply to your own projects in the real world, making your development time quicker and more efficient. 
 
What You Will Learn
  • Apply NLP techniques using Python libraries such as NLTK, TextBlob, spaCy, Stanford CoreNLP, and many more
  • Implement the concepts of information retrieval, text summarization, sentiment analysis, and other advanced natural language processing techniques.
  • Identify machine learning and deep learning techniques for natural language processing and natural language generation problems
 
Who This Book Is For
Data scientists who want to refresh and learn various concepts of natural language processing through coding exercises. 
 

 

商品描述(中文翻譯)

使用Python以問題解決的方式實現自然語言處理應用。本書包含許多編碼練習，可幫助您快速部署自然語言處理技術，例如文本分類、詞性識別、主題建模、文本摘要、文本生成、實體提取和情感分析。

《自然語言處理食譜》首先提供了清理和預處理文本數據的解決方案，以及使用先進算法進行分析的方法。您將看到文本的語義和句法分析的實際應用，以及涉及文本規範化、高級預處理、詞性標註和情感分析的複雜自然語言處理方法。您還將學習自然語言處理中機器學習和深度學習的各種應用。

通過使用本書中的食譜，您將擁有一個解決方案工具箱，可應用於現實世界中的自己項目，使您的開發時間更快、更高效。

您將學到什麼：
- 使用Python庫（如NLTK、TextBlob、spaCy、Stanford CoreNLP等）應用NLP技術
- 實現信息檢索、文本摘要、情感分析和其他高級自然語言處理技術的概念
- 為自然語言處理和自然語言生成問題識別機器學習和深度學習技術

本書適合對自然語言處理概念通過編碼練習進行刷新和學習的數據科學家。

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