preprintarXiv (Cornell University)Jul 10, 2017GREEN OA

A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques

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Abstract

The amount of text that is generated every day is increasing dramatically. This tremendous volume of mostly unstructured text cannot be simply processed and perceived by computers. Therefore, efficient and effective techniques and algorithms are required to discover useful patterns. Text mining is the task of extracting meaningful information from text, which has gained significant attentions in recent years. In this paper, we describe several of the most fundamental text mining tasks and techniques including text pre-processing, classification and clustering. Additionally, we briefly explain text mining in biomedical and health care domains.

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514
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123
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Authors

7

Topics & keywords

Keywords
  • Computer science
  • Cluster analysis
  • Text mining
  • Biomedical text mining
  • Task (project management)
  • Information extraction
  • Information retrieval
  • Concept mining
UN Sustainable Development Goals
  • Quality Education
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