Text Clustering based on Granular Computing and Wikipedia
Authors | Liping Jing Jian Yu |
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Publication date | 2011 |
DOI | 10.1007/978-3-642-24425-4_85 |
Links | Original |
Text Clustering based on Granular Computing and Wikipedia - scientific work related to Wikipedia quality published in 2011, written by Liping Jing and Jian Yu.
Overview
Text clustering plays an important role in many real-world applications, but it is faced with various challenges, such as, curse of dimensionality, complex semantics and large volume. A lot of researches paid attention to deal with such problems by designing new text representation models and clustering algorithms. However, text clustering still remains a research problem due to the complicated properties of text data. In this paper, a text clustering procedure is proposed based on the principle of granular computing with the aid of Wikipedia. The proposed clustering method firstly identifies the text granules, especially focusing on concepts and words with the aid of Wikipedia. And then, it mines the latent patterns based on the computation of such granules. Experimental results on benchmark data sets (20Newsgroups and Reuters-21578) have shown that the proposed method improves the performance of text clustering by comparing with the existing clustering algorithm together with the existing representation models.
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Wikipedia Quality
Jing, Liping; Yu, Jian. (2011). "[[Text Clustering based on Granular Computing and Wikipedia]]". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-24425-4_85.
English Wikipedia
{{cite journal |last1=Jing |first1=Liping |last2=Yu |first2=Jian |title=Text Clustering based on Granular Computing and Wikipedia |date=2011 |doi=10.1007/978-3-642-24425-4_85 |url=https://wikipediaquality.com/wiki/Text_Clustering_based_on_Granular_Computing_and_Wikipedia |journal=Springer, Berlin, Heidelberg}}
HTML
Jing, Liping; Yu, Jian. (2011). "<a href="https://wikipediaquality.com/wiki/Text_Clustering_based_on_Granular_Computing_and_Wikipedia">Text Clustering based on Granular Computing and Wikipedia</a>". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-24425-4_85.