• DOI:10.1109/BDCloud.2014.117
Corpus ID: 229585

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 J. Kim},
  journal={2014 IEEE Fourth International Conference on Big Data and Cloud Computing},
  year={2014},
  pages={761-764}
}

Suan Lee, Namsoo Kim, J. Kim

Published 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… CONTINUE READING

View on IEEE

doi.org

Save to Library

Create Alert

Cite

Launch Research Feed