Some Issues in Automatic Genre Classification of Web Pages
Some Issues in Automatic Genre Classification of Web Pages
复制标题
网页自动类型分类的一些问题
DOI：
--
复制
发表时间：
2006
期刊：
影响因子：
--
通讯作者：
Marina Santini
中科院分区：
文献类型：
--
作者：
Marina Santini
本文介绍了网页类型自动分类的两个实验。这两个实验旨在突出与体裁分类相关的三个重要问题：语料库组成和体裁调色板、特征代表性和分类模型的可导出性。结果表明，语料库组成和类型调色板对分类率有影响。它们还显示了特征集在调色板中表示类型的效果和程度，并给出了导出和用于预测任务时分类模型的局限性的概念。
In this paper, two experiments in automatic genre classification of web pages are presented. These two experiments are designed to highlight three important issues related to genre classification : corpus composition and genre palettes, feature representativeness, and exportability of classification models. Results show the influence of corpus composition and genre palette on classification rates. They also show how well and to what extent feature sets represent genres in a palette, and give an idea of the limitations of the classification models when exported and used for predictive tasks.