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AAI
2006
215views more  AAI 2006»
13 years 7 months ago
Extensive Evaluation of Efficient NLP-Driven Text Classification
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 ...
Roberto Basili, Alessandro Moschitti, Maria Teresa...
DEXAW
2010
IEEE
149views Database» more  DEXAW 2010»
13 years 8 months ago
Using Progressive Filtering to Deal with Information Overload
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...
Andrea Addis, Giuliano Armano, Eloisa Vargiu
NIPS
2000
13 years 8 months ago
A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work
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...
Ralf Herbrich, Thore Graepel
ICONIP
1998
13 years 8 months ago
Automated Text Categorization Using Support Vector Machine
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...
James Tin-Yau Kwok
NAACL
2003
13 years 8 months ago
Language and Task Independent Text Categorization with Simple Language Models
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...
Fuchun Peng, Dale Schuurmans, Shaojun Wang
ISTA
2003
13 years 8 months ago
Support Vector Machine Parameter Optimization for Text Categorization Problems
: 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...
Mikhail S. Ageev, Boris V. Dobrov
IJCAI
2003
13 years 8 months ago
Does a New Simple Gaussian Weighting Approach Perform Well in Text Categorization?
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...
Giorgio Maria Di Nunzio, Alessandro Micarelli
ECIR
2003
Springer
13 years 8 months ago
Discretizing Continuous Attributes in AdaBoost for Text Categorization
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 ...
Pio Nardiello, Fabrizio Sebastiani, Alessandro Spe...
DMIN
2006
115views Data Mining» more  DMIN 2006»
13 years 8 months ago
Development of a Multi-Classifier Approach for Multilingual Text Categorization
- 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...
Chung-Hong Lee, Hsin-Chang Yang, Ting-Chung Chen, ...
ACL
2006
13 years 8 months ago
A Study on Automatically Extracted Keywords in Text Categorization
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 ...
Anette Hulth, Beáta Megyesi