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CIKM
2005
Springer
13 years 10 months ago
Using appraisal groups for sentiment analysis
Little work to date in sentiment analysis (classifying texts by ‘positive’ or ‘negative’ orientation) has attempted to use fine-grained semantic distinctions in features ...
Casey Whitelaw, Navendu Garg, Shlomo Argamon
IAT
2008
IEEE
13 years 11 months ago
An Ontology-Based Approach to Text Summarization
Extractive text summarization aims to create a condensed version of one or more source documents by selecting the most informative sentences. Research in text summarization has th...
Leonhard Hennig, Winfried Umbrath, Robert Wetzker
SAC
2008
ACM
13 years 4 months ago
Exploring social annotations for web document classification
Social annotation via so-called collaborative tagging describes the process by which many users add metadata in the form of unstructured keywords to shared content. In this paper,...
Michael G. Noll, Christoph Meinel
SIGIR
2008
ACM
13 years 4 months ago
Deep classification in large-scale text hierarchies
Most classification algorithms are best at categorizing the Web documents into a few categories, such as the top two levels in the Open Directory Project. Such a classification me...
Gui-Rong Xue, Dikan Xing, Qiang Yang, Yong Yu
CVPR
2006
IEEE
14 years 6 months ago
Using Dependent Regions for Object Categorization in a Generative Framework
"Bag of words" models have enjoyed much attention and achieved good performances in recent studies of object categorization. In most of these works, local patches are mo...
Gang Wang, Ye Zhang, Fei-Fei Li 0002