A language modeling approach to information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Visualizing science by citation mapping
Journal of the American Society for Information Science
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Why do we need algorithmic historiography?
Journal of the American Society for Information Science and Technology
The Journal of Machine Learning Research
Identifying a better measure of relatedness for mapping science
Journal of the American Society for Information Science and Technology
Probabilistic topic decomposition of an eighteenth-century American newspaper
Journal of the American Society for Information Science and Technology
Toward a consensus map of science
Journal of the American Society for Information Science and Technology
Efficient methods for topic model inference on streaming document collections
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Studying the history of ideas using topic models
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Hi-index | 0.00 |
More than a century of modern Classical scholarship has created a vast archive of journal publications that is now becoming available online. Most of this work currently receives little, if any, attention. The collection is too large to be read by any single person and mostly not of sufficient interest to warrant traditional close reading. This article presents computational methods for identifying patterns and testing hypotheses about Classics as a field. Such tools can help organize large collections, introduce younger scholars to the history of the field, and act as a “survey,” identifying anomalies that can be explored using more traditional methods.