Python Natural Language Processing Cookbook: Over 50 recipes to understand, analyze, and generate different texts to implement language processing tasks

iebukes PACKT 192 次浏览 , 没有评论
Python Natural Language Processing Cookbook: Over 50 recipes to understand, analyze, and generate different texts to implement language processing tasks Front Cover

Python Natural Language Processing Cookbook: Over 50 recipes to understand, analyze, and generate different texts to implement language processing tasks

by Zhenya Antic
  • Length: 238 pages
  • Edition: 1
  • Publisher: Packt Publishing
  • Publication Date: 2021-04-09
  • ISBN-10: 1838987312
  • ISBN-13: 9781838987312
  • Sales Rank: #5334571 (See Top 100 Books)
Description

Get to grips with real-world NLP problems, such as dependency parsing, information extraction, topic modeling, and text data visualization, with this practical guide

Key Features

  • A recipe-based guide to analyzing varying complexities of text using the natural language toolkit (NLTK)
  • Implement common and not-so-common linguistic processing tasks using Python libraries
  • Overcome the common challenges faced while implementing NLP pipelines

Book Description

Python is the most widely used language for natural language processing (NLP) thanks to its extensive tools and libraries for analyzing text and extracting computer-usable data. This book will take you through techniques for working with text from the basics such as parsing the parts of speech to complex topics such as topic modeling, text classification, and visualization.

Starting with an overview of NLP, the book presents recipes for dividing text into sentences, stemming and lemmatization, removing stopwords, text classification, and parts of speech tagging to help you to structure your data. You’ll then learn dependency parsing, discover different ways of representing text using BERT, and understand the basic implementation of a semantic search for text classification. As you make progress, you’ll also see how to extract information from text, implement unsupervised and supervised techniques for topic modeling, and perform topic modeling of short texts, such as tweets, to be able to use these later for your projects. Additionally, the book covers developing chatbots, keyword matching, and visualizing text data.

By the end of this NLP book, you’ll be able to work with a powerful set of tools for processing text and extracting different types of data from it, such as sentiment, names, topics, and much more.

What you will learn

  • Become well-versed with basic and advanced NLP techniques in Python
  • Find out how to pull structured data from large amounts of unstructured text
  • Explore different techniques for topic modeling such as K-means, LDA, NMF, and BERT
  • Work with visualization techniques such as NER, topic modeling, and word clouds for different NLP tools
  • Build a basic chatbot with keyword matching, clustering, and deep learning
  • Extract information from text using regular expression techniques and neural network tools

Who This Book Is For

This book is for NLP practitioners, data scientists, and professionals working with text as part of their projects. Knowledge of Python and the basics of NLP will help you to make the most out of this book.

Python Natural Language Processing Cookbook: Over 50 recipes to understand, analyze, and generate different texts to implement language processing tasks

 

 亲,网盘文件已删,下载链接已失效


因为,我,失业了!于是我老家十八线小县城找了份掏下水道的工作。。。
 
为了生活
 
我决定将iebueks电子网站由免费改为赞助入群:
 
一年45元
 
从百度网盘群满之日算起。
 
这45元除了最新的英文IT电子书,还包括:

免费找书服务,中文英文皆可

国内出版社出版的中文电子书  
中文电子书
2022年公考资料
2022年公考资料
2023年考研学习资料
2023年考研学习资料
人人素材网各种视频素材模板以及中文字幕教程
人人素材网

入群指南


扫描下面二维码关注微信公众号获取资源

微信公众号二维码

发表评论

您的电子邮箱地址不会被公开。 必填项已用*标注

Go