Text Mining and Information Extraction

  • Ben-Dov M
  • Feldman R
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Abstract

Bar-llan university, Ramat-Gun Abstract Keywords: Text Mining is the automatic discovery of new, previously unknown informa-tion, by automatic analysis of various textual resources. Text mining starts by extracting facts and events from textual sources and then enables forming new hypotheses that are further explored by traditional Data Mining and data anal-ysis methods. In this chapter we will define text mining and describe the three main approaches for performing information extraction. In addition, we will de-scribe how we can visually display and analyze the outcome of the information extraction process. text mining, content mining, structure mining, text classification, information extraction, Rules Based Systems.

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Ben-Dov, M., & Feldman, R. (2006). Text Mining and Information Extraction. In Data Mining and Knowledge Discovery Handbook (pp. 801–831). Springer-Verlag. https://doi.org/10.1007/0-387-25465-x_38

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