AAI
2006
13 years 11 months ago
2006
Extensive experimental evidence is required to study the impact of text categorization approaches on real data and to assess the performance within operational scenarios. In this ...
DEXAW
2010
IEEE
14 years 16 days ago
2010
IEEE
Abstract-- In the age of Web 2.0 people organize large collections of web pages, articles, or emails in hierarchies of topics, or arrange a large body of knowledge in ontologies. T...
NIPS
2000
14 years 24 days ago
2000
We investigate how the normalization of vectors influences the result of SVMs. 1 Normalization For the theoretical background, please refer to [1]. 2 Experiments We empirically co...
ICONIP
1998
14 years 24 days ago
1998
In this paper, we study the use of support vector machine in text categorization. Unlike other machine learning techniques, it allows easy incorporation of new documents into an e...
NAACL
2003
14 years 24 days ago
2003
We present a simple method for language independent and task independent text categorization learning, based on character-level n-gram language models. Our approach uses simple in...
ISTA
2003
14 years 24 days ago
2003
: This paper analyzes the influence of different parameters of Support Vector Machine (SVM) on text categorization performance. The research is carried out on different text collec...
IJCAI
2003
14 years 25 days ago
2003
A new approach to the Text Categorization problem is here presented. It is called Gaussian Weighting and it is a supervised learning algorithm that, during the training phase, est...
ECIR
2003
Springer
14 years 25 days ago
2003
Springer
Abstract. We focus on two recently proposed algorithms in the family of “boosting”-based learners for automated text classification, AdaBoost.MH and AdaBoost.MHKR . While the ...
DMIN
2006
14 years 25 days ago
2006
- Research work related to applying text categorization methods to a monolingual corpus such as English text collections has been well established by several research teams in rece...
ACL
2006
14 years 26 days ago
2006
This paper presents a study on if and how automatically extracted keywords can be used to improve text categorization. In summary we show that a higher performance -- as measured ...