Natural Language Processing Fundamentals

Sohom Ghosh , Dwight Gunning

  • 出版商: Packt Publishing
  • 出版日期: 2019-03-29
  • 定價: $1,600
  • 售價: 8.0$1,280
  • 語言: 英文
  • 頁數: 374
  • 裝訂: Paperback
  • ISBN: 1789954045
  • ISBN-13: 9781789954043
  • 相關分類: Text-mining
  • 立即出貨 (庫存 < 3)

商品描述

Key Features

  • Assimilate key NLP concepts and terminologies
  • Explore popular NLP tools and techniques
  • Gain practical experience using NLP in application code

Book Description

If NLP hasn't been your forte, Natural Language Processing Fundamentals will make sure you set off to a steady start. This comprehensive guide will show you how to effectively use Python libraries and NLP concepts to solve various problems.

You'll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modeling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, you'll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, you'll understand how to apply NLP techniques to answer questions as can be used in chatbots.

By the end of this book, you'll be able to accomplish a varied range of assignments ranging from identifying the most suitable type of NLP task for solving a problem to using a tool like spacy or gensim for performing sentiment analysis. The book will easily equip you with the knowledge you need to build applications that interpret human language.

What you will learn

  • Obtain, verify, and clean data before transforming it into a correct format for use
  • Perform data analysis and machine learning tasks using Python
  • Understand the basics of computational linguistics
  • Build models for general natural language processing tasks
  • Evaluate the performance of a model with the right metrics
  • Visualize, quantify, and perform exploratory analysis from any text data

Who this book is for

Natural Language Processing Fundamentals is designed for novice and mid-level data scientists and machine learning developers who want to gather and analyze text data to build an NLP-powered product. It'll help you to have prior experience of coding in Python using data types, writing functions, and importing libraries. Some experience with linguistics and probability is useful but not necessary.

商品描述(中文翻譯)

主要特點


  • 吸收關鍵的自然語言處理(NLP)概念和術語

  • 探索流行的NLP工具和技術

  • 通過應用程式代碼獲得實際經驗使用NLP

書籍描述

如果NLP不是你的強項,那麼《自然語言處理基礎》將確保你有一個穩定的開始。這本全面的指南將向你展示如何有效地使用Python庫和NLP概念來解決各種問題。

通過示例和練習,你將介紹自然語言處理及其應用。接著,你將了解解決問題的初始階段,包括問題定義、獲取文本數據並準備模型。通過接觸高級自然語言處理算法和可視化技術,你將學習如何創建能夠從非結構化數據中提取信息並以有影響力的視覺方式呈現的應用程式。儘管你將繼續學習基於NLP的技術,但重點將逐漸轉向開發有用的應用程式。在這些部分中,你將了解如何應用NLP技術來回答問題,例如在聊天機器人中使用的問題。

通過閱讀本書,你將能夠完成各種任務,從識別最適合解決問題的NLP任務類型,到使用像spacy或gensim這樣的工具進行情感分析。本書將輕鬆裝備你所需的知識,以構建解釋人類語言的應用程式。

你將學到什麼


  • 在轉換數據之前,獲取、驗證和清理數據,使其格式正確

  • 使用Python執行數據分析和機器學習任務

  • 了解計算語言學的基礎知識

  • 為一般自然語言處理任務構建模型

  • 使用正確的指標評估模型的性能

  • 從任何文本數據中進行可視化、量化和探索性分析

本書適合對象

《自然語言處理基礎》適用於初學者和中級數據科學家和機器學習開發人員,他們希望收集和分析文本數據以構建一個以NLP為基礎的產品。本書將幫助你具備使用Python編程的先前經驗,包括使用數據類型、編寫函數和導入庫。對語言學和概率有一些經驗是有用但不是必需的。

作者簡介

Sohom Ghosh is a passionate data detective with expertise in Natural Language Processing. He has worked extensively in the Data Science arena with specialization in Deep Learning based Text Analytics, NLP & Recommendation Systems.He has publications in several international conferences and journals.

Dwight Gunning is a data scientist at FINRA, a financial services regulator in the US. He has extensive experience in Python-based machine learning and hands-on experience with the most popular NLP tools such as NLTK, gensim, and spacy.

作者簡介(中文翻譯)

Sohom Ghosh 是一位熱情洋溢的數據偵探,擅長自然語言處理。他在數據科學領域有豐富的工作經驗,專注於基於深度學習的文本分析、自然語言處理和推薦系統。他在多個國際會議和期刊上發表了論文。

Dwight Gunning 是美國金融服務監管機構FINRA的數據科學家。他在基於Python的機器學習方面有豐富的經驗,並且熟練使用NLTK、gensim和spacy等最流行的自然語言處理工具。

目錄大綱

  1. General Introduction to NLP
  2. Extraction Methods from Unstructured Text
  3. Building a Simple Classifier
  4. Collecting Text Data
  5. Topic Modelling
  6. Text Summarization and Text Generation
  7. Vector Representation
  8. Sentiment Analysis
  9. Language Detection using Neural Networks

目錄大綱(中文翻譯)


  1. 自然語言處理簡介

  2. 從非結構化文本中提取方法

  3. 建立簡單的分類器

  4. 收集文本數據

  5. 主題建模

  6. 文本摘要和生成

  7. 向量表示

  8. 情感分析

  9. 使用神經網絡進行語言檢測