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NLTK Essentials

Python iteblog 183℃ 0评论

子标题:Build cool NLP and machine learning applications using NLTK and other Python libraries

NLTK Essentials
作者:
Nitin Hardeniya
ISBN-10:
1784396907
出版年份:
2015
页数:
194
语言:
English
文件大小:
2.17 MB
文件格式:
PDF

图书描述

Natural Language Processing (NLP) is the field of artificial intelligence and computational linguistics that deals with the interactions between computers and human languages. With the instances of human-computer interaction increasing, it’s becoming imperative for computers to comprehend all major natural languages. Natural Language Toolkit (NLTK) is one such powerful and robust tool.

You start with an introduction to get the gist of how to build systems around NLP. We then move on to explore data science-related tasks, following which you will learn how to create a customized tokenizer and parser from scratch. Throughout, we delve into the essential concepts of NLP while gaining practical insights into various open source tools and libraries available in Python for NLP. You will then learn how to analyze social media sites to discover trending topics and perform sentiment analysis. Finally, you will see tools which will help you deal with large scale text.

By the end of this book, you will be confident about NLP and data science concepts and know how to apply them in your day-to-day work.

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