Result: Natural Language Processing: Python and NLTK

Learn to build expert NLP and machine learning projects using NLTK and other Python librariesAbout This BookBreak text down into its component parts for spelling correction, feature extraction, and phrase transformationWork through NLP concepts with simple and easy-to-follow programming recipesGain insights into the current and budding research topics of NLPWho This Book Is ForIf 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.What You Will LearnThe scope of natural language complexity and how they are processed by machinesClean and wrangle text using tokenization and chunking to help you process data betterTokenize text into sentences and sentences into wordsClassify text and perform sentiment analysisImplement string matching algorithms and normalization techniquesUnderstand and implement the concepts of information retrieval and text summarizationFind out how to implement various NLP tasks in PythonIn DetailNatural 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