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KDD
2006
ACM
175views Data Mining» more  KDD 2006»
14 years 8 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
ICAIL
2009
ACM
14 years 2 months ago
Query-based opinion summarization for legal blog entries
We present the first report of automatic sentiment summarization in the legal domain. This work is based on processing a set of legal questions with a system consisting of a semi...
Jack G. Conrad, Jochen L. Leidner, Frank Schilder,...
CIKM
2008
Springer
13 years 10 months ago
Characterizing and predicting community members from evolutionary and heterogeneous networks
Mining different types of communities from web data have attracted a lot of research efforts in recent years. However, none of the existing community mining techniques has taken i...
Qiankun Zhao, Sourav S. Bhowmick, Xin Zheng, Kai Y...
MM
2010
ACM
199views Multimedia» more  MM 2010»
13 years 8 months ago
TOP-SURF: a visual words toolkit
TOP-SURF is an image descriptor that combines interest points with visual words, resulting in a high performance yet compact descriptor that is designed with a wide range of conte...
Bart Thomee, Erwin M. Bakker, Michael S. Lew
COMMA
2010
13 years 3 months ago
Qualitative Evidence Aggregation using Argumentation
Evidence-based decision making is becoming increasingly important in many diverse domains, including healthcare, environmental management, and government. This has raised the need ...
Anthony Hunter, Matthew Williams