MEDLINE ABSTRACTS CLASSIFICATION - Average-based Discrimination for Noun Phrases Selection and Weighting Applied to Categorization of MEDLINE Abstracts

Fernando Ruiz-Rico, Jose Luis Vicedo, María-Consuelo Rubio-Sánchez

2008

Abstract

Many algorithms have come up in the last years to tackle automated text categorization. They have been exhaustively studied, leading to several variants and combinations not only in the particular procedures but also in the treatment of the input data. A widely used approach is representing documents as Bag-Of-Words (BOW) and weighting tokens with the TFIDF schema. Many researchers have thrown into precision and recall improvements and classification time reduction enriching BOW with stemming, n-grams, feature selection, noun phrases, metadata, weight normalization, etc. We contribute to this field with a novel combination of these techniques. For evaluation purposes, we provide comparisons to previous works with SVM against the simple BOW. The well known OHSUMED corpus is exploited and different sets of categories are selected, as previously done in the literature. The conclusion is that the proposed method can be successfully applied to existing binary classifiers such as SVM outperforming the mixture of BOW and TFIDF approaches.

Paper Citation

in Harvard Style

Ruiz-Rico F., Luis Vicedo J. and Rubio-Sánchez M. (2008). MEDLINE ABSTRACTS CLASSIFICATION - Average-based Discrimination for Noun Phrases Selection and Weighting Applied to Categorization of MEDLINE Abstracts.In Proceedings of the First International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2008) ISBN 978-989-8111-16-6, pages 94-101. DOI: 10.5220/0001043500940101

in Bibtex Style

@conference{healthinf08,
author={Fernando Ruiz-Rico and Jose Luis Vicedo and María-Consuelo Rubio-Sánchez},
title={MEDLINE ABSTRACTS CLASSIFICATION - Average-based Discrimination for Noun Phrases Selection and Weighting Applied to Categorization of MEDLINE Abstracts},
booktitle={Proceedings of the First International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2008)},
year={2008},
pages={94-101},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001043500940101},
isbn={978-989-8111-16-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the First International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2008)
TI - MEDLINE ABSTRACTS CLASSIFICATION - Average-based Discrimination for Noun Phrases Selection and Weighting Applied to Categorization of MEDLINE Abstracts
SN - 978-989-8111-16-6
AU - Ruiz-Rico F.
AU - Luis Vicedo J.
AU - Rubio-Sánchez M.
PY - 2008
SP - 94
EP - 101
DO - 10.5220/0001043500940101