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The world has recently witnessed a tremendous growth in the volume of text documents available on the Internet, digital libraries, news sources, and company-wide intranets. Text data mining, as a multidisciplinary field involving information retrieval, text analysis, information extraction, clustering, categorization, linguistics, database technology, machine learning, and data mining, is becoming more significant, and efforts have been intensified in studies like information retrieval, practical applications of which are becoming more and more necessary to end users and to the scientific community itself, in order to fetch the increasingly available information efficiently. In the past few years, not only have new documents been produced directly in digital form, thus being suitable for automatic indexing, but also many of the older documents have been ported from their physical medium to the digital one. The meaning of a …