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» Keyword-based document clustering
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127
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EMNLP
2009
15 years 11 days ago
Clustering to Find Exemplar Terms for Keyphrase Extraction
Keyphrases are widely used as a brief summary of documents. Since manual assignment is time-consuming, various unsupervised ranking methods based on importance scores are proposed...
Zhiyuan Liu, Peng Li, Yabin Zheng, Maosong Sun
83
Voted
ICPR
2008
IEEE
16 years 3 months ago
Clustering of short commercial documents for the web
Document clustering techniques have been applied in several areas, with the web as one of the most recent and influent. Both general-purpose and text-oriented techniques exist and...
Elisabetta Binaghi, Ignazio Gallo, Moreno Carullo,...
107
Voted
WWW
2006
ACM
16 years 3 months ago
Using symbolic objects to cluster web documents
Web Clustering is useful for several activities in the WWW, from automatically building web directories to improve retrieval performance. Nevertheless, due to the huge size of the...
Esteban Meneses, Oldemar Rodríguez-Rojas
134
Voted
GRC
2005
IEEE
15 years 8 months ago
Semantic based clustering of Web documents
Abstract. A new methodology that structures the semantics of a collection of documents into the geometry of a simplicial complex is developed. A simplicial complex is topologically...
Tsau Young Lin, I-Jen Chiang
111
Voted
CIKM
2008
Springer
15 years 4 months ago
An extension of PLSA for document clustering
In this paper we propose an extension of the PLSA model in which an extra latent variable allows the model to cocluster documents and terms simultaneously. We show on three datase...
Young-Min Kim, Jean-François Pessiot, Massi...