OBJECTIVES With the exponential increase in the number of articles published every year in the biomedical domain, there is a need to build automated systems to extract unknown information from the articles published. Text mining techniques enable the extraction of unknown knowledge from unstructured documents. METHODS This paper reviews text mining processes in detail and the software tools a...

Appendix A – Literature Search Criteria for Identification of Relevant Studies Appendix B – Literature Search Strategy and Terms Appendix C – Bibliography of Articles Reviewed as Additional Scientific Information Appendix D – Other Literature Cited Appendix E Table Summary of Exposure and Effects from Articles Reviewed Appendix F ATSDR-2005 and EPA-2002 update summary documents Appendix G1 and ...

In this paper we describe a new unsupervised algorithm for automatic documents clustering with the aid of Wikipedia. Contrary to other related algorithms in the field, our algorithm utilizes only two aspects of Wikipedia, namely its categories network and articles titles. We do not utilize the inner content of the articles in Wikipedia or their inner or inter links. The implemented algorithm wa...

There are huge numbers of documents in digital libraries. How to effectively organize these documents so that humans can easily browse or reference is a challenging task. Existing classification methods and chronological or geographical ordering only provide partial views of the news articles. The relationships among news articles might not be easily grasped. In this paper, we propose a near-du...

Background: Preparing a formal transaction document is one of the specific duties of notaries public, which requires the use and observance of various substantive and formal conditions. Failure to comply with any of these conditions can lead to the annulment of the document by the court and the responsibility to compensate the clerks. Compensation by the clerks in various articles such as Artic...