Web Mining for Unsupervised Classification

Abstract

Data acquisition is a major concern in text classification. The excessive human efforts required by conventional methods to build up quality training collection might not always be available to research workers. In this paper, we look into possibilities to automatically collect training data by sampling the Web with a set of given class names. The basic… (More)

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Cite this paper

@inproceedings{Day2009WebMF, title={Web Mining for Unsupervised Classification}, author={Wei-Yen Day and Chun-Yi Chi and Ruey-Cheng Chen and Pu-Jen Cheng and Pei-Sen Liu}, booktitle={ROCLING}, year={2009} }