Text Mining Basics in Bioinformatics

Biomedical scientific literature is becoming a valuable information sourcethat includes a huge amount of novel research findings. Nevertheless, the un-structured nature of the publications stresses the importance of extracting em-bedded information to support literature-based analysis enabling the develop-ment of applications, such as Information Retrieval, Document Classification,Summarization, and so forth. There is a need to integrate several methods ad-dressing, for instance, linguistic analysis enabling the system to mine informa-tion from the text at different abstraction levels, at document level or sentence.This chapter provides an overview of the text-mining in Bioinformatics intro-ducing methods, applications, existing solutions and, finally, pointing out whatare the emerging challenges of this research area.