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» Using a Heterogeneous Dataset for Emotion Analysis in Text
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PST
2004
13 years 10 months ago
Detection of New Malicious Code Using N-grams Signatures
Signature-based malicious code detection is the standard technique in all commercial anti-virus software. This method can detect a virus only after the virus has appeared and cause...
Tony Abou-Assaleh, Nick Cercone, Vlado Keselj, Ray...
ICDAR
2011
IEEE
12 years 8 months ago
Graph Clustering-Based Ensemble Method for Handwritten Text Line Segmentation
—Handwritten text line segmentation on real-world data presents significant challenges that cannot be overcome by any single technique. Given the diversity of approaches and the...
Vasant Manohar, Shiv Naga Prasad Vitaladevuni, Hua...
BMCBI
2007
154views more  BMCBI 2007»
13 years 9 months ago
Classification of heterogeneous microarray data by maximum entropy kernel
Background: There is a large amount of microarray data accumulating in public databases, providing various data waiting to be analyzed jointly. Powerful kernel-based methods are c...
Wataru Fujibuchi, Tsuyoshi Kato
SOCIALCOM
2010
13 years 3 months ago
Classification of Short Text Comments by Sentiment and Actionability for VoiceYourView
Much has been documented in the literature on sentiment analysis and document summarisation. Much of this applies to long structured text in the form of documents and blog posts. W...
William Simm, Maria Angela Ferrario, Scott Songlin...
CIKM
2009
Springer
14 years 3 months ago
Joint sentiment/topic model for sentiment analysis
Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text. This paper proposes ...
Chenghua Lin, Yulan He