84 search results - page 4 / 17 » Negative Training Data Can be Harmful to Text Classification |
AAAI
2006
14 years 11 months ago
2006
Evaluating text fragments for positive and negative subjective expressions and their strength can be important in applications such as single- or multi- document summarization, do...
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
MICAI
2007
Springer
15 years 3 months ago
2007
Springer
A problem of supervised approaches for text classification is that they commonly require high-quality training data to construct an accurate classifier. Unfortunately, in many real...
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IPM
2008
14 years 9 months ago
2008
Authorship analysis of electronic texts assists digital forensics and anti-terror investigation. Author identification can be seen as a single-label multi-class text categorizatio...
SIGIR
2005
ACM
15 years 3 months ago
2005
ACM
Support Vector Machines (SVMs) have been very successful in text classification. However, the intrinsic geometric structure of text data has been ignored by standard kernels commo...