A Brief Survey of Text Mining Export

@misc{citeulike:1094918, abstract = {The enormous amount of information stored in unstructured texts cannot sim- ply be used for further processing by computers, which typically handle text as simple sequences of character strings. Therefore, specific (pre-)processing meth- ods and algorithms are required in order to extract useful patterns. Text mining refers generally to the process of extracting interesting information and knowledge from unstructured text. In this article, we discuss text mining as a young and in- terdisciplinary field in the intersection of the related areas information retrieval, machine learning, statistics, computational linguistics and especially data mining. We describe the main analysis tasks preprocessing, classification, clustering, in- formation extraction and visualization. In addition, we briefly discuss a number of successful applications of text mining}, author = {Hotho, A. and Nurnberger, A. and Paass, G.}, citeulike-article-id = {1094918}, keywords = {mining, text}, month = {May}, posted-at = {2007-02-27 22:58:19}, priority = {4}, title = {A Brief Survey of Text Mining}, year = {2005} }

TY - GEN ID - citeulike:1094918 L3 - citeulike-article-id:1094918 N2 - The enormous amount of information stored in unstructured texts cannot sim- ply be used for further processing by computers, which typically handle text as simple sequences of character strings. Therefore, specific (pre-)processing meth- ods and algorithms are required in order to extract useful patterns. Text mining refers generally to the process of extracting interesting information and knowledge from unstructured text. In this article, we discuss text mining as a young and in- terdisciplinary field in the intersection of the related areas information retrieval, machine learning, statistics, computational linguistics and especially data mining. We describe the main analysis tasks preprocessing, classification, clustering, in- formation extraction and visualization. In addition, we briefly discuss a number of successful applications of text mining TI - A Brief Survey of Text Mining KW - mining KW - text AU - Hotho, A AU - Nurnberger, A AU - Paass, G PY - 2005/05// ER -