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JUCS
2010
168views more  JUCS 2010»
13 years 2 months ago
Extraction of Contextualized User Interest Profiles in Social Sharing Platforms
: Along with the emergence of the Web 2.0, E-learning more often takes place in open environments such as wikis, blogs, and resource sharing platforms. Nowadays, many companies dep...
Rafael Schirru, Stephan Baumann, Martin Memmel, An...
ICDAR
2009
IEEE
13 years 5 months ago
Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...
Dwi Sianto Mansjur, Ted S. Wada, Biing-Hwang Juang
CORR
2000
Springer
129views Education» more  CORR 2000»
13 years 7 months ago
Prosody-Based Automatic Segmentation of Speech into Sentences and Topics
A crucial step in processing speech audio data for information extraction, topic detection, or browsing/playback is to segment the input into sentence and topic units. Speech segm...
Elizabeth Shriberg, Andreas Stolcke, Dilek Z. Hakk...
NAACL
2010
13 years 5 months ago
Improving Blog Polarity Classification via Topic Analysis and Adaptive Methods
In this paper we examine different linguistic features for sentimental polarity classification, and perform a comparative study on this task between blog and review data. We found...
Feifan Liu, Dong Wang, Bin Li, Yang Liu
TKDE
2010
224views more  TKDE 2010»
13 years 6 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela