Jihong Guan  , Shuigeng Zhou  , 
    An Effective Approach to the Evaluation and Construction of Training Corpus for Text Classification,
    Asian Journal of Information Technology,
    Volume 4,Issue 3,
    2005,
    Pages 33-40,
    ISSN 1682-3915,
    ajit.2005.33.40,
    (https://makhillpublications.co/view-article.php?doi=ajit.2005.33.40)
    Abstract: Text classification is becoming more and more important with the rapid growth of on-line information available. It was observed that the quality of training corpus impacts the performance of the trained classifier. This paper proposes an approach to build high-quality training corpuses for better classification performance by first exploring the properties of training corpuses, and then giving an algorithm for constructing training corpuses semi-automatically. Preliminary experimental results validate our approach: classifiers based on the training corpuses constructed by our approach can achieve good performance while the training corpus` size is significantly reduced. Our approach can be used for building efficient and lightweight classification systems.
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