Journal of Intelligent Information Systems
Mixtures of Probabilistic PCAs and Fisher Kernels for Word and Document Modeling
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Effect of term distributions on centroid-based text categorization
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
Dual diffusion model of spreading activation for content-based image retrieval
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Structure and semantics for expressive text kernels
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Building semantic kernels for text classification using wikipedia
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Text Categorization with Semantic Commonsense Knowledge: First Results
Neural Information Processing
Semi-structured document categorization with a semantic kernel
Pattern Recognition
A Concept Lattice-Based Kernel for SVM Text Classification
ICFCA '09 Proceedings of the 7th International Conference on Formal Concept Analysis
Improving text classification by a sense spectrum approach to term expansion
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning
Semantic classification with WordNet kernels
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
A Kernel-based feature weighting for text classification
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Effective use of WordNet semantics via kernel-based learning
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Combined syntactic and semantic Kernels for text classification
ECIR'07 Proceedings of the 29th European conference on IR research
Document classification utilising ontologies and relations between documents
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Rule extraction from support vector machines: A review
Neurocomputing
A knowledge-based semantic Kernel for text classification
SPIRE'11 Proceedings of the 18th international conference on String processing and information retrieval
A semantic kernel to exploit linguistic knowledge
AI*IA'05 Proceedings of the 9th conference on Advances in Artificial Intelligence
SVM-Based semantic text categorization for large scale web information organization
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Word sense disambiguation for exploiting hierarchical thesauri in text classification
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Spectral kernels for classification
DaWaK'05 Proceedings of the 7th international conference on Data Warehousing and Knowledge Discovery
Structured lexical similarity via convolution kernels on dependency trees
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Class normalization in centroid-based text categorization
Information Sciences: an International Journal
Short documents clustering in very large text databases
WISE'06 Proceedings of the 7th international conference on Web Information Systems
Category hierarchy maintenance: a data-driven approach
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Language independent semantic kernels for short-text classification
Expert Systems with Applications: An International Journal
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We propose to solve a text categorization task using a new metric between documents, based on a priori semantic knowledge about words. This metric can be incorporated into the definition of radial basis kernels of Support Vector Machines or directly used in a K-nearest neighbors algorithm. Both SVM and KNN are tested and compared on the 20 - newsgroups database. Support Vector Machines provide the best accuracy on test data.