Graph-based generalized latent semantic analysis for document representation

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Abstract

Document indexing and representation of term-document relations are very important for document clustering and retrieval. In this paper, we combine a graph-based dimensionality reduction method with a corpus-based association measure within the Generalized Latent Semantic Analysis framework. We evaluate the graph-based GLSA on the document clustering task.

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CITATION STYLE

APA

Matveeva, I., & Levow, G. A. (2020). Graph-based generalized latent semantic analysis for document representation. In Proceedings of TextGraphs: The 1st Workshop on Graph-Based Methods for Natural Language Processing (pp. 61–64). Association for Computational Linguistics. https://doi.org/10.3115/1654758.1654771

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