169 search results - page 5 / 34 » Sentiment Analysis using Support Vector Machines with Divers... |
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
BMCBI
2006
13 years 7 months ago
2006
Background: In discriminant analysis of microarray data, usually a small number of samples are expressed by a large number of genes. It is not only difficult but also unnecessary ...
BMCBI
2007
13 years 7 months ago
2007
Background: Human genetic variations primarily result from single nucleotide polymorphisms (SNPs) that occur approximately every 1000 bases in the overall human population. The no...
MANSCI
2007
13 years 7 months ago
2007
Extracting sentiment from text is a hard semantic problem. We develop a methodology for extracting small investor sentiment from stock message boards. The algorithm comprises di�...
BMCBI
2004
13 years 7 months ago
2004
Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...