CICLING
2004
Springer
14 years 5 months ago
2004
Springer
When text categorization is applied to complex tasks, it is tedious and expensive to hand-label the large amounts of training data necessary for good performance. In this paper, we...
AIRS
2004
Springer
14 years 5 months ago
2004
Springer
This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
SIGIR
2004
ACM
14 years 5 months ago
2004
ACM
Although text categorization is a burgeoning area of IR research, readily available test collections in this field are surprisingly scarce. We describe a methodology and system (...
SAC
2004
ACM
14 years 5 months ago
2004
ACM
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
NLDB
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. Automated Text Categorization has reached the levels of accuracy of human experts. Provided that enough training data is available, it is possible to learn accurate autom...
ACMSE
2006
ACM
14 years 5 months ago
2006
ACM
Support Vector Machines (SVMs) have successfully shown efficiencies in many areas such as text categorization. Although recommendation systems share many similarities with text ca...
KES
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. In this paper, we analyze about the relation between stock price returns and Headline News. Headline News is very important sources of information in asset management, an...
ICADL
2007
Springer
14 years 5 months ago
2007
Springer
With the rapid emergence and proliferation of Internet and the trend of globalization, a tremendous amount of textual documents written in different languages are electronically ac...
CIKM
2007
Springer
14 years 5 months ago
2007
Springer
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...
IJCNN
2007
IEEE
14 years 5 months ago
2007
IEEE
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...