Elements of information theory
Elements of information theory
A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Machine Learning
Improved boosting algorithms using confidence-rated predictions
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Combining labeled and unlabeled data with co-training
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
Distributional clustering of words for text classification
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Learning to extract symbolic knowledge from the World Wide Web
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Learning to classify text from labeled and unlabeled documents
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Making large-scale support vector machine learning practical
Advances in kernel methods
Foundations of statistical natural language processing
Foundations of statistical natural language processing
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
Unsupervised learning by probabilistic latent semantic analysis
Machine Learning
Text databases & document management
A statistical learning learning model of text classification for support vector machines
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Modern Information Retrieval
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Unsupervised document classification using sequential information maximization
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Maximizing Text-Mining Performance
IEEE Intelligent Systems
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Iterative Double Clustering for Unsupervised and Semi-supervised Learning
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Multivariate Information Bottleneck
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
Text classification using string kernels
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Joining statistics with NLP for text categorization
ANLC '92 Proceedings of the third conference on Applied natural language processing
Distributional clustering of English words
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
An introduction to variable and feature selection
The Journal of Machine Learning Research
Multi-way distributional clustering via pairwise interactions
ICML '05 Proceedings of the 22nd international conference on Machine learning
Generalized LARS as an effective feature selection tool for text classification with SVMs
ICML '05 Proceedings of the 22nd international conference on Machine learning
Exploiting structural information for semi-structured document categorization
Information Processing and Management: an International Journal
A scaleable document clustering approach for large document corpora
Information Processing and Management: an International Journal
A relevance feedback mechanism for cluster-based retrieval
Information Processing and Management: an International Journal
A New Text Categorization Technique Using Distributional Clustering and Learning Logic
IEEE Transactions on Knowledge and Data Engineering
Extending the single words-based document model: a comparison of bigrams and 2-itemsets
Proceedings of the 2006 ACM symposium on Document engineering
A semi-supervised feature clustering algorithm with application to word sense disambiguation
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Searching with style: authorship attribution in classic literature
ACSC '07 Proceedings of the thirtieth Australasian conference on Computer science - Volume 62
Using clustering to enhance text classification
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Proceedings of the 17th international conference on World Wide Web
Text Categorization in Non-linear Semantic Space
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Text Categorization Using Fuzzy Proximal SVM and Distributional Clustering of Words
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Learning non-redundant codebooks for classifying complex objects
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Improving text categorization bootstrapping via unsupervised learning
ACM Transactions on Speech and Language Processing (TSLP)
Legal docket-entry classification: where machine learning stumbles
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Soft-supervised learning for text classification
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Supervised latent semantic indexing using adaptive sprinkling
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Exploiting term relationship to boost text classification
Proceedings of the 18th ACM conference on Information and knowledge management
Efficient Text Classification Using Term Projection
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Domain kernels for text categorization
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Exploiting structural information for semi-structured document categorization
Information Processing and Management: an International Journal
Entropy-based authorship search in large document collections
ECIR'07 Proceedings of the 29th European conference on IR research
Document clustering of scientific texts using citation contexts
Information Retrieval
A clustering scheme for large high-dimensional document datasets
ISICA'07 Proceedings of the 2nd international conference on Advances in computation and intelligence
Object-based image retrieval beyond visual appearances
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Document classification algorithm based on IB and LS-SVM
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
A comparison study on multiple binary-class SVM methods for unilabel text categorization
Pattern Recognition Letters
Quadratic Programming Feature Selection
The Journal of Machine Learning Research
Exploiting word cluster information for unsupervised feature selection
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
High-precision phrase-based document classification on a modern scale
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Semi-Supervised Learning with Measure Propagation
The Journal of Machine Learning Research
Combinatorial markov random fields
ECML'06 Proceedings of the 17th European conference on Machine Learning
Distributional features for text categorization
ECML'06 Proceedings of the 17th European conference on Machine Learning
A new inductive learning method for multilabel text categorization
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Automatic word clustering for text categorization using global information
AIRS'04 Proceedings of the 2004 international conference on Asian Information Retrieval Technology
Feature selection for dimensionality reduction
SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection
A global-ranking local feature selection method for text categorization
Expert Systems with Applications: An International Journal
Online feature selection for mining big data
Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
Ontology-guided feature engineering for clinical text classification
Journal of Biomedical Informatics
Control-flow integrity principles, implementations, and applications
ACM Transactions on Information and System Security (TISSEC)
A survey on feature selection methods
Computers and Electrical Engineering
A scatter method for data and variable importance evaluation
Integrated Computer-Aided Engineering
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We study an approach to text categorization that combines distributional clustering of words and a Support Vector Machine (SVM) classifier. This word-cluster representation is computed using the recently introduced Information Bottleneck method, which generates a compact and efficient representation of documents. When combined with the classification power of the SVM, this method yields high performance in text categorization. This novel combination of SVM with word-cluster representation is compared with SVM-based categorization using the simpler bag-of-words (BOW) representation. The comparison is performed over three known datasets. On one of these datasets (the 20 Newsgroups) the method based on word clusters significantly outperforms the word-based representation in terms of categorization accuracy or representation efficiency. On the two other sets (Reuters-21578 and WebKB) the word-based representation slightly outperforms the word-cluster representation. We investigate the potential reasons for this behavior and relate it to structural differences between the datasets.