Building Semantic Kernels for Text Classification Using Wikipedia
Authors | Pu Wang Carlotta Domeniconi |
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Publication date | 2008 |
DOI | 10.1145/1401890.1401976 |
Links | Original Preprint |
Building Semantic Kernels for Text Classification Using Wikipedia - scientific work related to Wikipedia quality published in 2008, written by Pu Wang and Carlotta Domeniconi.
Overview
Document classification presents difficult challenges due to the sparsity and the high dimensionality of text data, and to the complex semantics of the natural language. The traditional document representation is a word-based vector (Bag of Words, or BOW), where each dimension is associated with a term of the dictionary containing all the words that appear in the corpus. Although simple and commonly used, this representation has several limitations. It is essential to embed semantic information and conceptual patterns in order to enhance the prediction capabilities of classification algorithms. In this paper, authors overcome the shortages of the BOW approach by embedding background knowledge derived from Wikipedia into a semantic kernel, which is then used to enrich the representation of documents. Authors empirical evaluation with real data sets demonstrates that approach successfully achieves improved classification accuracy with respect to the BOW technique, and to other recently developed methods.
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Wikipedia Quality
Wang, Pu; Domeniconi, Carlotta. (2008). "[[Building Semantic Kernels for Text Classification Using Wikipedia]]".DOI: 10.1145/1401890.1401976.
English Wikipedia
{{cite journal |last1=Wang |first1=Pu |last2=Domeniconi |first2=Carlotta |title=Building Semantic Kernels for Text Classification Using Wikipedia |date=2008 |doi=10.1145/1401890.1401976 |url=https://wikipediaquality.com/wiki/Building_Semantic_Kernels_for_Text_Classification_Using_Wikipedia}}
HTML
Wang, Pu; Domeniconi, Carlotta. (2008). "<a href="https://wikipediaquality.com/wiki/Building_Semantic_Kernels_for_Text_Classification_Using_Wikipedia">Building Semantic Kernels for Text Classification Using Wikipedia</a>".DOI: 10.1145/1401890.1401976.