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- W2293980168 abstract "The Open Directory Project (ODP) is a large scale, high quality and publicly available web directory. Many studies and real-world applications build on an ODP-based classifier. However, existing approaches use traditional bag-of-words representation of text to develop an ODP-based classifier and words alone do not always provide atomic units of semantic meaning. In this paper, we propose a novel framework to better understand the semantic meaning of text by bringing bag-of-phrases to ODP-based text classification. The proposed method employs a syntactic tree to extract phrases from ODP and applies a phrase selection method to alleviate the high dimensionality problem of bag-of-phrases. The conducted evaluation results demonstrate that our approach outperforms the state-of-the-art methods in classification performance." @default.
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- W2293980168 date "2016-01-01" @default.
- W2293980168 modified "2023-09-23" @default.
- W2293980168 title "Bringing bag-of-phrases to ODP-based text classification" @default.
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- W2293980168 doi "https://doi.org/10.1109/bigcomp.2016.7425975" @default.
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