LINGUISTIC ENGINEERING AND ITS APPLICABILITY TO BUSINESS INTELLIGENCE - Towards an Integrated Framework

S. F. J. Otten, M. R. Spruit

2011

Abstract

This paper investigates how linguistic techniques on unstructured text data can contribute to business intelligence processes. Through a literature study covering 99 relevant papers, we identified key business intelligence techniques such as text mining, social mining and opinion mining. The Linguistic Engineering for Business Intelligence (LEBI) framework incorporates these techniques and can be used as a guide or reference for combining techniques on unstructured and structured data.

Paper Citation

in Harvard Style

Otten S. and Spruit M. (2011). LINGUISTIC ENGINEERING AND ITS APPLICABILITY TO BUSINESS INTELLIGENCE - Towards an Integrated Framework . In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011) ISBN 978-989-8425-79-9, pages 452-456. DOI: 10.5220/0003661704600464

in Bibtex Style

@conference{kdir11,
author={S. F. J. Otten and M. R. Spruit},
title={LINGUISTIC ENGINEERING AND ITS APPLICABILITY TO BUSINESS INTELLIGENCE - Towards an Integrated Framework},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)},
year={2011},
pages={452-456},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003661704600464},
isbn={978-989-8425-79-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval - Volume 1: KDIR, (IC3K 2011)
TI - LINGUISTIC ENGINEERING AND ITS APPLICABILITY TO BUSINESS INTELLIGENCE - Towards an Integrated Framework
SN - 978-989-8425-79-9
AU - Otten S.
AU - Spruit M.
PY - 2011
SP - 452
EP - 456
DO - 10.5220/0003661704600464