A Multi-dimensional Analysis and Data Cube for Unstructured Text and Social Media

@article{Lee2014AMA,
  title={A Multi-dimensional Analysis and Data Cube for Unstructured Text and Social Media},
  author={Suan Lee and Namsoo Kim and Jinho Kim},
  journal={2014 IEEE Fourth International Conference on Big Data and Cloud Computing},
  year={2014},
  pages={761-764}
}
  • Suan Lee, Namsoo Kim, Jinho Kim
  • Published 3 December 2014
  • Computer Science
  • 2014 IEEE Fourth International Conference on Big Data and Cloud Computing
Recently, unstructured data like texts, documents, or SNS messages has been increasingly being used in many applications, rather than structured data consisting of simple numbers or characters. Thus it becomes more important to analysis unstructured text data to extract valuable information for usres decision making. Like OLAP (On-Line Analytical Processing) analysis over structured data, Multi-dimensional analysis for these unstructured data is popularly being required. To facilitate these… 
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