Feature selection, perceptron learning, and a usability case study for text categorization
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluating Dewey concepts as a knowledge base for automatic subject assignment
DL '97 Proceedings of the second ACM international conference on Digital libraries
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Feature selection in SVM text categorization
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Hierarchical classification of Web content
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Exploiting Hierarchy in Text Categorization
Information Retrieval
Hierarchical Text Categorization Using Neural Networks
Information Retrieval
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Hierarchically Classifying Documents Using Very Few Words
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Improving Text Classification by Shrinkage in a Hierarchy of Classes
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Hierarchical Text Classification and Evaluation
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Personalized Classification for Keyword-Based Category Profiles
ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
Pharos: a scalable distributed architecture for locating heterogeneous information sources
Pharos: a scalable distributed architecture for locating heterogeneous information sources
The Journal of Machine Learning Research
Developing practical automatic metadata assignment and evaluation tools for internet resources
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Organizing the OCA: learning faceted subjects from a library of digital books
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Proceedings of the 2007 international ACM conference on Supporting group work
Reconstructing ddc for interactive classification
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Enriching student experience with student driven content while teaching an online data mining class
SIGITE '08 Proceedings of the 9th ACM SIGITE conference on Information technology education
Classifying library catalogue by author profiling
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
An extensive study on automated Dewey Decimal Classification
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
The utility of information extraction in the classification of books
ECIR'07 Proceedings of the 29th European conference on IR research
Leveraging the legacy of conventional libraries for organizing digital libraries
ECDL'09 Proceedings of the 13th European conference on Research and advanced technology for digital libraries
A knowledge-based model using ontologies for personalized web information gathering
Web Intelligence and Agent Systems
A semantic similarity approach to predicting Library of Congress subject headings for social tags
Journal of the American Society for Information Science and Technology
Computer-assisted assignment of educational standards using natural language processing
Journal of the American Society for Information Science and Technology
Journal of Information Science
Constructing a true LCSH tree of a science and engineering collection
Journal of the American Society for Information Science and Technology
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This paper addresses the problem of automatically assigning a Library of Congress Classification (LCC) to a work given its set of Library of Congress Subject Headings (LCSH). LCCs are organized in a tree: The root node of this hierarchy comprises all possible topics, and leaf nodes correspond to the most specialized topic areas defined. We describe a procedure that, given a resource identified by its LCSH, automatically places that resource in the LCC hierarchy. The procedure uses machine learning techniques and training data from a large library catalog to learn a model that maps from sets of LCSH to classifications from the LCC tree. We present empirical results for our technique showing its accuracy on an independent collection of 50,000 LCSH/LCC pairs.