| #1776273 in Books | 2015-07-27 | 2015-07-27 | Original language:English | PDF # 1 | 9.25 x.44 x7.50l,.76 | File type: PDF | 194 pages||1 of 1 people found the following review helpful.| Better off with the whales|By Matthew Bachtell|Grammatical and code errors abound. Someone new to NLTK would be better served with the outdated O'Reilly Whale book.|3 of 3 people found the following review helpful.| The book could use a more general title|By S.K.|This is a review for the PDF version of “NLTK Essentials&rd|About the Author||Nitin Hardeniya |Nitin Hardeniya is a data scientist with more than 4 years of experience working with companies such as Fidelity, Groupon, and [24]7-inc. He has worked on a variety of business problems across different domains. He holds
Build cool NLP and machine learning applications using NLTK and other Python libraries
About This Book
Extract information from unstructured data using NLTK to solve NLP problems
Analyse linguistic structures in text and learn the concept of semantic analysis and parsing
Learn text analysis, text mining, and web crawling in a simplified manner
Who This Book Is For
If you are an NLP or machine learning enth...
You easily download any file type for your device.NLTK Essentials | Nitin Hardeniya. Just read it with an open mind because none of us really know.
