Text mining searches for regularities, patterns or trends in natural
language text. Inspired by data mining, which discovers major patterns
from highly structured databases, text mining aims to extract useful
knowledge from unstructured text. This book focuses on the concepts and
methods needed to expand horizons beyond structured, numeric data to
automated mining of text samples. This authoritative and highly
accessible text/reference, written by a team of authorities on text
mining, develops the foundation concepts, principles, and methods needed
to expand beyond structured, numeric data to automated mining of text
samples. Researchers, computer scientists, and advanced undergraduates
and graduates with work and interests in data mining, machine learning,
databases, and computational linguistics will find the work an essential
resource.