Abstract
There are two approaches to mining text form online repositories. First, when the knowledge to be discovered is expressed directly in the documents to be mined, Information Extraction (IE) alone can serve as an effective tool for such text mining. Second, when the documents contain concrete data in unstructured form rather than abstract knowledge, Information Extraction (IE) can be used to first transform the unstructured data in the document corpus into a structured database, and then use some state-of-the-art data mining algorithms/tools to identify abstract patterns in this extracted data. This paper presents the review of several methods related to these two approaches.
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SIRSAT, S.R., CHAVAN, D.V. & DESHPANDE, D.S.P. Mining knowledge from text repositories using information extraction: A review. Sadhana 39, 53–62 (2014). https://doi.org/10.1007/s12046-013-0197-2
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DOI: https://doi.org/10.1007/s12046-013-0197-2