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» A class-feature-centroid classifier for text categorization
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EPIA
2009
Springer
15 years 10 months ago
Classifying Documents According to Locational Relevance
This paper presents an approach for categorizing documents according to their implicit locational relevance. We report a thorough evaluation of several classifiers designed for th...
Ivo Anastácio, Bruno Martins, Pável ...
ECIR
2004
Springer
15 years 5 months ago
Complex Linguistic Features for Text Classification: A Comprehensive Study
Abstract. Previous researches on advanced representations for document retrieval have shown that statistical state-of-the-art models are not improved by a variety of different ling...
Alessandro Moschitti, Roberto Basili
SIGIR
2008
ACM
15 years 3 months ago
Deep classification in large-scale text hierarchies
Most classification algorithms are best at categorizing the Web documents into a few categories, such as the top two levels in the Open Directory Project. Such a classification me...
Gui-Rong Xue, Dikan Xing, Qiang Yang, Yong Yu
ADCS
2004
15 years 5 months ago
Phrases and Feature Selection in E-Mail Classification
In this paper we study the effectiveness of using a phrase-based representation in e-mail classification, and the affect this approach has on a number of machine learning algorithm...
Elisabeth Crawford, Irena Koprinska, Jon Patrick
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WWW
2008
ACM
16 years 4 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi