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» Semi-Supervised Learning for Blog Classification
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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
14 years 6 months ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
CLEF
2010
Springer
13 years 6 months ago
UPMC/LIP6 at ImageCLEFannotation 2010
In this paper, we present the LIP6 annotation models for the ImageCLEFannotation 2010 task. We study two methods to train and merge the results of different classifiers in order to...
Ali Fakeri-Tabrizi, Sabrina Tollari, Nicolas Usuni...
CHI
2010
ACM
14 years 19 days ago
Lessons learned from blog muse: audience-based inspiration for bloggers
Blogging in the enterprise is increasingly popular and recent research has shown that there are numerous benefits for both individuals and the organization, e.g. developing reputa...
Casey Dugan, Werner Geyer, David R. Millen
WEBI
2007
Springer
13 years 12 months ago
Emotion Classification Using Web Blog Corpora
In this paper, we investigate the emotion classification of web blog corpora using support vector machine (SVM) and conditional random field (CRF) machine learning techniques. The...
Changhua Yang, Kevin Hsin-Yih Lin, Hsin-Hsi Chen
EMNLP
2010
13 years 3 months ago
Improving Gender Classification of Blog Authors
The problem of automatically classifying the gender of a blog author has important applications in many commercial domains. Existing systems mainly use features such as words, wor...
Arjun Mukherjee, Bing Liu