Generalized component analysis for text with heterogeneous attributes

Abstract

We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. Our model generalizes techniques such as principal component analysis to heterogeneous data types. In contrast to other approaches, this framework allows modalities such as words… (More)
DOI: 10.1145/1281192.1281277

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@inproceedings{Wang2007GeneralizedCA, title={Generalized component analysis for text with heterogeneous attributes}, author={Xuerui Wang and Christopher Joseph Pal and Andrew McCallum}, booktitle={KDD}, year={2007} }