This book introduces the basic ideas of text mining, which is a group of techniques that extracts useful information from one or more texts. This is a practical book, one that focuses on applications and examples. Although some statistics and mathem
This thesis is on the biomedical text mining, which is studied in 2008. It has a latest survey of the related work of biomedical text mining. Hence, it provide a valuale reference for researchers who are interested in text mining.
During the last decade text mining has become a widely used discipline utilizing sta- tistical and machine learning methods. We present the tm package which provides a framework for text mining applications within R. We give a survey on text mining
Our book is aimed at IT professionals and managers as well as advanced undergraduate computer science students and beginning graduate students. Some background in data mining is beneficial but is not essential. A few sections discuss advanced concep
This book is concerned with the concept, the theories, and the implementations of text mining. In Part I, we provide the fundamental knowledge about the text mining tasks, such as text preprocessing and text association. In Parts II and III, we desc
