Analyzing text to make your machine understand using natural language toolkit
About This Book
* Easy-to-follow unique guide that teaches how to make your machine understand your language with the highest efficiency
* Make your machine read, understand, and interpret natural language with the help of powerful algorithms and tools
* Parts of speech, semantic analysis, solving ambiguity and more; explained with real-world examples
Who This Book Is For
This book is dedicated to developers who are comfortable with one of the programming languages and are from the statistical background. This book is useful for anyone who wishes to make their applications smarter by adding natural language processing.
What You Will Learn
* Understanding levels of syntactic and semantic analysis required to make sense out of the text
* Explore Ontologies, Taxonomies, Knowledge bases and Annotated Corpora to understand their structure and use
* Usage of various machine learning and deep learning libraries for building Machine Learning and Deep Learning models
* Application of Stanford CoreNLP to perform NLP Analysis
* Learn Discrete Vector based approaches, Language Modeling based approaches, Continuous Vector based approaches for building keyword-based search engines
* Understanding deep learning and machine learning-based tools and the code to develop advanced search applications
* Learn to translate unstructured information into structured one
In Detail
For a long time, communication with computers in human language looked impossible; however, it is now possible with various natural language processing tools and algorithms.
This practical book will be your guide to implement natural language processing in your applications. You will start off with understanding the underlying logic of machines understanding human language. You will learn how you can make your programs understand various parts of speech and make text analysis. It will also cover various language processing algorithms such as Naive Bayes, some recent effective deep learning algorithms and so on. You will learn about various tools to perform NLP and learn how to work around with various ambiguities such as Lexical, syntax-level, and referential. You will work through mapping natural language sentences to text planning to performing pragmatic analysis of the language.
With the help of easy to follow, real-world examples, this book will make you comfortable in natural language processing concepts.
- ISBN13 9781787128521
- Publish Date 28 February 2018
- Publish Status Active
- Publish Country GB
- Imprint Packt Publishing Limited
- Format eBook
- Pages 415
- Language English