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» Clustering Template Based Web Documents
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SIGIR
2002
ACM
13 years 9 months ago
Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering
A novel method for simultaneous keyphrase extraction and generic text summarization is proposed by modeling text documents as weighted undirected and weighted bipartite graphs. Sp...
Hongyuan Zha
ICPR
2010
IEEE
13 years 7 months ago
Exploiting Combined Multi-level Model for Document Sentiment Analysis
This paper focuses on the task of text sentiment analysis in hybrid online articles and web pages. Traditional approaches of text sentiment analysis typically work at a particular ...
Si Li, Hao Zhang, Weiran Xu, Guang Chen, Jun Guo
WWW
2007
ACM
14 years 10 months ago
On building graphs of documents with artificial ants
We present an incremental algorithm for building a neighborhood graph from a set of documents. This algorithm is based on a population of artificial agents that imitate the way re...
Hanane Azzag, Julien Lavergne, Christiane Guinot, ...
IWPSE
2005
IEEE
14 years 3 months ago
Supporting Web Application Evolution by Dynamic Analysis
The evolution of Web Applications needs to be supported by the availability of proper analysis and design documents. UML use case diagrams are certainly useful to identify feature...
Giuseppe A. Di Lucca, Massimiliano Di Penta, Anna ...
ECIR
2006
Springer
13 years 11 months ago
Improving Quality of Search Results Clustering with Approximate Matrix Factorisations
Abstract. In this paper we show how approximate matrix factorisations can be used to organise document summaries returned by a search engine into meaningful thematic categories. We...
Stanislaw Osinski