Opinion Mining Meets Decision Making: Towards Opinion Engineering

Klemens Schnattinger, Heike Walterscheid

2017

Abstract

We introduce a methodology for opinion mining based on recent approaches for natural language processing and machine learning. To select and rank the relevant opinions, decision making based on weighted description logics is introduced. Therefore, we propose an architecture called OMA (Opinion Mining Architecture) that integrates these approaches of our methodology in a common framework. First results of a study on opinion mining with OMA in the financial sector are presented.

Paper Citation

in Harvard Style

Schnattinger K. and Walterscheid H. (2017). Opinion Mining Meets Decision Making: Towards Opinion Engineering.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, ISBN 978-989-758-271-4, pages 334-341. DOI: 10.5220/0006576403340341

in Bibtex Style

@conference{kdir17,
author={Klemens Schnattinger and Heike Walterscheid},
title={Opinion Mining Meets Decision Making: Towards Opinion Engineering},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,},
year={2017},
pages={334-341},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006576403340341},
isbn={978-989-758-271-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR,
TI - Opinion Mining Meets Decision Making: Towards Opinion Engineering
SN - 978-989-758-271-4
AU - Schnattinger K.
AU - Walterscheid H.
PY - 2017
SP - 334
EP - 341
DO - 10.5220/0006576403340341