Text Mining is the automatic discovery of new, previously unknown information, by automatic analysis of various textual resources. Text mining starts by extracting facts and events from textual sources and then enables forming newhypotheses that are further explored by traditional Data Mining and data analysis methods. In this chapter we will define text min- ing and describe the three main approaches for performing information extraction. In addition, we will describe how we can visually display and analyze the outcome of the information ex- traction process.
CITATION STYLE
Ben-Dov, M., & Feldman, R. (2009). Text Mining and Information Extraction. In Data Mining and Knowledge Discovery Handbook (pp. 809–835). Springer US. https://doi.org/10.1007/978-0-387-09823-4_42
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