53 search results - page 2 / 11 » Topic Distillation using Support Vector Data Description |
EMNLP
2004
13 years 6 months ago
2004
This paper introduces an approach to sentiment analysis which uses support vector machines (SVMs) to bring together diverse sources of potentially pertinent information, including...
MICCAI
2006
Springer
14 years 6 months ago
2006
Springer
Abstract. The support vector domain description is a one-class classification method that estimates the shape and extent of the distribution of a data set. This separates the data ...
AIR
2005
13 years 5 months ago
2005
The Support Vector Machine (SVM) has emerged in recent years as a popular approach to the classification of data. One problem that faces the user of an SVM is how to choose a kerne...
COLING
2010
13 years 5 days ago
2010
We study a novel shallow information extraction problem that involves extracting sentences of a given set of topic categories from medical forum data. Given a corpus of medical fo...
EWMF
2005
Springer
13 years 10 months ago
2005
Springer
In this paper, we review two techniques for topic discovery in collections of text documents (Latent Semantic Indexing and K-Means clustering) and present how we integrated them in...