Practical Natural Language Processing with Python: With Case Studies from Industries Using Text Data at Scale
暫譯: 實用自然語言處理與 Python：來自大規模文本數據應用的行業案例研究

Sri, Mathangi

Practical Natural Language Processing with Python: With Case Studies from Industries Using Text Data at Scale

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商品描述

Work with natural language tools and techniques to solve real-world problems. This book focuses on how natural language processing (NLP) is used in various industries. Each chapter describes the problem and solution strategy, then provides an intuitive explanation of how different algorithms work and a deeper dive on code and output in Python.

Practical Natural Language Processing with Python follows a case study-based approach. Each chapter is devoted to an industry or a use case, where you address the real business problems in that industry and the various ways to solve them. You start with various types of text data before focusing on the customer service industry, the type of data available in that domain, and the common NLP problems encountered. Here you cover the bag-of-words model supervised learning technique as you try to solve the case studies. Similar depth is given to other use cases such as online reviews, bots, finance, and so on. As you cover the problems in these industries you'll also cover sentiment analysis, named entity recognition, word2vec, word similarities, topic modeling, deep learning, and sequence to sequence modelling.

By the end of the book, you will be able to handle all types of NLP problems independently. You will also be able to think in different ways to solve language problems. Code and techniques for all the problems are provided in the book.

What You Will Learn

  • Build an understanding of NLP problems in industry
  • Gain the know-how to solve a typical NLP problem using language-based models and machine learning
  • Discover the best methods to solve a business problem using NLP - the tried and tested ones
  • Understand the business problems that are tough to solve

Who This Book Is For

Analytics and data science professionals who want to kick start NLP, and NLP professionals who want to get new ideas to solve the problems at hand.

商品描述(中文翻譯)

使用自然語言工具和技術來解決現實世界中的問題。本書專注於自然語言處理（NLP）在各行各業中的應用。每一章節描述問題和解決策略，然後提供不同演算法如何運作的直觀解釋，以及在 Python 中的代碼和輸出深入探討。

《實用的自然語言處理與 Python》採用案例研究為基礎的方法。每一章節專注於一個行業或使用案例，您將針對該行業中的實際商業問題及其各種解決方案進行探討。您將從各種類型的文本數據開始，然後專注於客戶服務行業、該領域可用的數據類型以及常見的 NLP 問題。在這裡，您將涵蓋袋裝詞模型（bag-of-words model）監督學習技術，並嘗試解決案例研究。其他使用案例，如在線評論、機器人、金融等，也將給予相似的深度探討。在討論這些行業中的問題時，您還將涵蓋情感分析、命名實體識別、word2vec、詞彙相似性、主題建模、深度學習和序列到序列建模。

到本書結束時，您將能夠獨立處理各類 NLP 問題。您還將能夠以不同的方式思考以解決語言問題。本書提供了所有問題的代碼和技術。

您將學到的內容：

- 建立對行業中 NLP 問題的理解
- 獲得使用基於語言的模型和機器學習解決典型 NLP 問題的知識
- 發現使用 NLP 解決商業問題的最佳方法 - 經過驗證的方法
- 理解難以解決的商業問題

本書適合對象：

希望啟動 NLP 的分析和數據科學專業人士，以及希望獲得新思路以解決當前問題的 NLP 專業人士。

作者簡介

Mathangi is a renowned data science leader in India. She has 11 patent grants and 20+ patents published in the area of intuitive customer experience, indoor positioning, and user profiles. She has 16+ years of proven track record in building world-class data science solutions and products. She is adept in machine learning, text mining, NLP technologies, and NLP tools. She has built data science teams across large organizations including Citibank, HSBC, and GE, and tech startups such as 247.ai, PhonePe, and Gojek. She advises start-ups, enterprises, and venture capitalists on data science strategy and roadmaps. She is an active contributor on machine learning to many premier institutes in India. She is recognized as one of "The Phenomenal SHE" by the Indian National Bar Association in 2019.


作者簡介(中文翻譯)

Mathangi 是印度知名的數據科學領導者。她擁有 11 項專利授權和 20 多項在直觀客戶體驗、室內定位和用戶檔案領域發表的專利。她在構建世界級數據科學解決方案和產品方面擁有超過 16 年的成功經驗。她精通機器學習、文本挖掘、自然語言處理技術和自然語言處理工具。她在大型組織中建立了數據科學團隊，包括花旗銀行、匯豐銀行和通用電氣，以及技術初創公司如 247.ai、PhonePe 和 Gojek。她為初創公司、企業和風險投資家提供數據科學策略和路線圖的建議。她是印度多所頂尖機構機器學習的活躍貢獻者。2019 年，她被印度全國律師協會認定為「非凡女性」之一。

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