[书籍介绍] Natural Language Processing with Python Cookbook [推广有奖]

0关注
564
粉丝

泰斗

还不是VIP/贵宾

威望: 9 级
论坛币: 2694426 个
通用积分: 18514.4069
学术水平: 2744 点
热心指数: 3467 点
信用等级: 2560 点
经验: 484578 点
帖子: 5415
精华: 52
在线时间: 3589 小时
注册时间: 2007-8-6
最后登录: 2024-4-26

楼主

igs816

发表于 2018-3-14 14:12:36 |只看作者 |坛友微信交流群|倒序 |AI写论文

相似文件

换一批

是否 +2 论坛币

k人参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

English | 2017 | ISBN: 178728932X | 308 Pages | True PDF
This book is intended for data scientists, data analysts, and data science professionals who want to upgrade their existing skills to implement advanced text analytics using NLP. Some basic knowledge of Natural Language Processing is recommended.

What You Will Learn:

• Explore corpus management using internal and external corpora
• Learn WordNet usage and a couple of simple application assignments using WordNet
• Operate on raw text
• Learn to perform tokenization, stemming, lemmatization, and spelling corrections, stop words removals, and more
• Understand regular expressions for pattern matching
• Learn to use and write your own POS taggers and grammars
• Learn to evaluate your own trained models
• Explore Deep Learning techniques in NLP
• Generate Text from Nietzsche's writing using LSTM
• Utilize the BABI dataset and LSTM to model episodes

Natural Language Processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages; in particular, it's about programming computers to fruitfully process large natural language corpora.

This book includes unique recipes that will teach you various aspects of performing Natural Language Processing with NLTK the leading Python platform for the task. You will come across various recipes during the course, covering (among other topics) natural language understanding, Natural Language Processing, and syntactic analysis. You will learn how to understand language, plan sentences, and work around various ambiguities. You will learn how to efficiently use NLTK and implement text classification, identify parts of speech, tag words, and more. You will also learn how to analyze sentence structures and master lexical analysis, syntactic and semantic analysis, pragmatic analysis, and the application of deep learning techniques.

By the end of this book, you will have all the knowledge you need to implement Natural Language Processing with Python.