楼主: igs816
1273 23

[其他] Natural Language Processing: Python and NLTK [推广有奖]

大师

78%

还不是VIP/贵宾

-

威望
8
论坛币
1701097 个
学术水平
2409 点
热心指数
3028 点
信用等级
2191 点
经验
414942 点
帖子
4584
精华
52
在线时间
2429 小时
注册时间
2007-8-6
最后登录
2018-10-17

igs816 在职认证  发表于 2016-12-8 14:27:34 |显示全部楼层
natural-language-processing.jpg

Author: Nitin Hardeniya
Pub Date: 2016
ISBN: 978-1-78728-510-1
Pages: 687
Language: English
Format: EPUB/MOBI/AZW3/PDF (conv)
Size: 18 Mb
Learn to build expert NLP and machine learning projects using NLTK and other Python libraries
Natural Language Processing is a field of computational linguistics and artificial intelligence that deals with human-computer interaction. It provides a seamless interaction between computers and human beings and gives computers the ability to understand human speech with the help of machine learning. The number of human-computer interaction instances are increasing so it’s becoming imperative that computers comprehend all major natural languages.
The first NLTK Essentials module is an introduction on how to build systems around NLP, with a focus on how to create a customized tokenizer and parser from scratch. You will learn essential concepts of NLP, be given practical insight into open source tool and libraries available in Python, shown how to analyze social media sites, and be given tools to deal with large scale text. This module also provides a workaround using some of the amazing capabilities of Python libraries such as NLTK, scikit-learn, pandas, and NumPy.
The second Python 3 Text Processing with NLTK 3 Cookbook module teaches you the essential techniques of text and language processing with simple, straightforward examples. This includes organizing text corpora, creating your own custom corpus, text classification with a focus on sentiment analysis, and distributed text processing methods.
The third Mastering Natural Language Processing with Python module will help you become an expert and assist you in creating your own NLP projects using NLTK. You will be guided through model development with machine learning tools, shown how to create training data, and given insight into the best practices for designing and building NLP-based applications using Python.
This Learning Path combines some of the best that Packt has to offer in one complete, curated package and is designed to help you quickly learn text processing with Python and NLTK. It includes content from the following Packt products:
  • NTLK essentials by Nitin Hardeniya
  • Python 3 Text Processing with NLTK 3 Cookbook by Jacob Perkins
  • Mastering Natural Language Processing with Python by Deepti Chopra, Nisheeth Joshi, and Iti Mathur
What You Will Learn
  • The scope of natural language complexity and how they are processed by machines
  • Clean and wrangle text using tokenization and chunking to help you process data better
  • Tokenize text into sentences and sentences into words
  • Classify text and perform sentiment analysis
  • Implement string matching algorithms and normalization techniques
  • Understand and implement the concepts of information retrieval and text summarization
  • Find out how to implement various NLP tasks in Python
If you are an NLP or machine learning enthusiast and an intermediate Python programmer who wants to quickly master NLTK for natural language processing, then this Learning Path will do you a lot of good. Students of linguistics and semantic/sentiment analysis professionals will find it invaluable.

+ Table of Contents


Part 1. Module 1
1. Introduction to Natural Language Processing
2. Text Wrangling and Cleansing
3. Part of Speech Tagging
4. Parsing Structure in Text
5. NLP Applications
6. Text Classification
7. Web Crawling
8. Using NLTK with Other Python Libraries
9. Social Media Mining in Python
10. Text Mining at Scale
Part 2. Module 2
1. Tokenizing Text and WordNet Basics
2. Replacing and Correcting Words
3. Creating Custom Corpora
4. Part-of-speech Tagging
5. Extracting Chunks
6. Transforming Chunks and Trees
7. Text Classification
8. Distributed Processing and Handling Large Datasets
9. Parsing Specific Data TypesPart 3. Module 3
1. Working with Strings
2. Statistical Language Modeling
3. Morphology – Getting Our Feet Wet
4. Parts-of-Speech Tagging – Identifying Words
5. Parsing – Analyzing Training Data
6. Semantic Analysis – Meaning Matters
7. Sentiment Analysis – I Am Happy
8. Information Retrieval – Accessing Information
9. Discourse Analysis – Knowing Is Believing
10. Evaluation of NLP Systems – Analyzing Performance
                                                                       

本帖隐藏的内容

natural-language-processing.rar (18.74 MB, 售价: 5 个论坛币)



本帖被以下文库推荐

stata SPSS
yazxf 发表于 2016-12-8 14:31:31 |显示全部楼层
谢稿你的书!
回复

使用道具 举报

auirzxp 学生认证  发表于 2016-12-8 14:34:19 |显示全部楼层
回复

使用道具 举报

雨季黎明 在职认证  发表于 2016-12-8 16:08:01 |显示全部楼层
不错的好书。
回复

使用道具 举报

fengyg 企业认证  发表于 2016-12-8 17:08:11 |显示全部楼层
kankan
回复

使用道具 举报

kzpan 发表于 2016-12-9 08:44:16 |显示全部楼层
回复

使用道具 举报

lm972 发表于 2016-12-9 10:18:43 |显示全部楼层
谢谢分享
回复

使用道具 举报

Nicolle 学生认证  发表于 2016-12-10 10:30:16 |显示全部楼层
回复

使用道具 举报

voodoo 发表于 2016-12-10 23:34:33 |显示全部楼层
Natural Language Processing: Python and NLTK
巫毒上传,必属佳品!
坛友下载,三思后行!
回复

使用道具 举报

nadjainhell 发表于 2016-12-12 09:23:37 |显示全部楼层
感谢分享
回复

使用道具 举报

您需要登录后才可以回帖 登录 | 我要注册

GMT+8, 2018-10-18 07:18