by Tom Reamy
First published 2016
Text analytics expert Tom Reamy tackles the challenge of making sense of vast amounts of unstructured text data. He introduces deep text methodology as a solution for organizations overwhelmed by information they cannot effectively process. Reamy walks readers through practical applications across different industries and provides concrete guidance for implementation. He covers essential business considerations like return on investment calculations and offers step-by-step instructions for building internal text analytics capabilities. The book includes advice on software selection and development practices that work in real-world scenarios. Reamy addresses the needs of multiple audiences, from technical developers managing big data projects to business leaders seeking cost reduction and new revenue opportunities. Whether readers face social media content overflow or need to transform business documents into organized resources, this book delivers practical strategies and real examples for success.
Genres: business, artificial-intelligence, information-science, computer-science, academic, algorithms
Vibes: informative, practical, thought-provoking
Tropes: how-to, problem-solving
424 pages · Paperback · Information Today Inc