In this survey paper, we discuss biomedical ontologies and major text mining techniques applied to biomedicine and healthcare. Biomedical ontologies such as UMLS are currently being adopted in text mining approaches because they provide domain knowledge for text mining approaches. In addition, biomedical ontologies enable us to resolve many linguistic problems when text mining approaches handle...

Due to the rapid growth in World Wide Web and data availability, text mining has become one of the most important fields in data mining. Text mining refers to the technique which is useful to find the information from a huge volume of digital documents. Many existing text mining methods follow the term based approaches. Pattern evolution methods are employed to perform the same concept of tasks...

The global cyberspace networks provide individuals with platforms to can interact, exchange ideas, share information, provide social support, conduct business, create artistic media, play games, engage in political discussions, and many more. The term cyberspace has become a conventional means to describe anything associated with the Internet and the diverse Internet culture. In fact, cyberspac...

When a new discipline emerges, it usually takes some time and a great deal of academic discussion before concepts and terms become standardized. Text mining is one such new discipline. In a groundbreaking article, Untangling text data mining, Hearst (1999) tackled the problem of clarifying text-mining concepts and terminology. This article is aimed at building on Hearst's ideas by pointing out ...

Text mining provides the automated means to manage information overload and overlook. By adding meaning to text, text mining techniques produce a much more structured analysis of textual knowledge than do simple word searches, and can provide powerful tools for knowledge discovery in biomedicine. In this chapter, the author focus on the text mining services for biomedicine offered by the United...

Text Mining has become an important research area, which refers to the application of machine learning (or data mining) techniques in the study of Information Retrieval and Natural Language Processing. In sense, it is defined as the way of discovering knowledge from ubiquitous text data which are easily accessible over the Internet or the Intranet. The survey of Text Mining techniques, Text Min...

Interviews and questionnaires are the basis for collecting information about the opinions, concerns and needs of people. Analysis of those texts is crucial to understand the kansei of people. Text mining is an approach to discover useful and interesting patterns, knowledge and information from texts. This chapter contains two sections on text mining for beginners of it. The first section gives ...

text mining is a technique to find meaningful patterns from the available text documents. The pattern discovery from the text and document organization of document is a well-known problem in data mining. Analysis of text content and categorization of the documents is a complex task of data mining. In order to find an efficient and effective technique for text categorization, various techniques ...