Text Classification Using Association Rules, Dependency Pruning and Hyperonymization
Information Retrieval
2014-07-29 v1 Computation and Language
Abstract
We present new methods for pruning and enhancing item- sets for text classification via association rule mining. Pruning methods are based on dependency syntax and enhancing methods are based on replacing words by their hyperonyms of various orders. We discuss the impact of these methods, compared to pruning based on tfidf rank of words.
Keywords
Cite
@article{arxiv.1407.7357,
title = {Text Classification Using Association Rules, Dependency Pruning and Hyperonymization},
author = {Yannis Haralambous and Philippe Lenca},
journal= {arXiv preprint arXiv:1407.7357},
year = {2014}
}
Comments
16 pages, 2 figures, presented at DMNLP 2014