AI-Powered Search
Trey Grainger, Doug Turnbull +1
Description A technical examination of how to integrate machine learning and natural language processing into search engines to improve relevance and ...
Getting Started with Natural Language Processing
Ekaterina Kochmar
Book Metadata
Publisher
Simon and Schuster
Duration
14 hr 50 min
ISBN
9781638350927
Genres
Computers
About This Book
Description An introduction to the fundamental algorithms and techniques used in natural language processing (NLP), providing a foundation in information extraction and text analysis. Key Topics: Sentiment analysis, named entity recognition (NER), user profiling, topic labeling, and automated summarization. About the Technology: NLP utilizes machine learning and linguistic rules to enable computers to process and extract meaning from human language. About the Book: This text utilizes Python-based projects to demonstrate practical applications of NLP, such as building search algorithms and analyzing text sentiment. About the Reader: For readers with basic Python skills; no prior machine learning background is assumed. About the Author: Dr. Ekaterina Kochmar is a researcher and lecturer specializing in NLP and educational technology.