A Methodological Framework for Dictionary and Rule-based Text Classification

Jennifer Abel, Birger Lantow

2019

Abstract

Recent research on dictionary- and rule-based text classification either concentrates on improving the classification quality for standard tasks like sentiment mining or describe applications to a specific domain. The focus is mainly on the underlying algorithmic approach. This work in contrast provides a general methodological approach to dictionary- and rule-based text classification based on a systematic literature analysis. The result is a process description that enables the application of these technologies on specific problems by guidance through major decision points from the definition of the classification goals to the actual classification of texts.

Paper Citation

in Harvard Style

Abel J. and Lantow B. (2019). A Methodological Framework for Dictionary and Rule-based Text Classification. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR; ISBN 978-989-758-382-7, SciTePress, pages 330-337. DOI: 10.5220/0008121503300337

in Bibtex Style

@conference{kdir19,
author={Jennifer Abel and Birger Lantow},
title={A Methodological Framework for Dictionary and Rule-based Text Classification},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR},
year={2019},
pages={330-337},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008121503300337},
isbn={978-989-758-382-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 1: KDIR
TI - A Methodological Framework for Dictionary and Rule-based Text Classification
SN - 978-989-758-382-7
AU - Abel J.
AU - Lantow B.
PY - 2019
SP - 330
EP - 337
DO - 10.5220/0008121503300337
PB - SciTePress