Fusion Matrix–Based Text Similarity Measures for Clustering of Retrieval Results
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DOI: 10.1007/s11192-022-04596-z
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- Yang Liu & Songhua Xu, 2017. "A local context-aware LDA model for topic modeling in a document network," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(6), pages 1429-1448, June.
- Leo Egghe, 2010. "Good properties of similarity measures and their complementarity," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(10), pages 2151-2160, October.
- Tingting Mu & John Y. Goulermas & Ioannis Korkontzelos & Sophia Ananiadou, 2016. "Descriptive document clustering via discriminant learning in a co-embedded space of multilevel similarities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(1), pages 106-133, January.
- Leo Egghe, 2010. "Good properties of similarity measures and their complementarity," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(10), pages 2151-2160, October.
- Scott Deerwester & Susan T. Dumais & George W. Furnas & Thomas K. Landauer & Richard Harshman, 1990. "Indexing by latent semantic analysis," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 391-407, September.
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Keywords
Text clustering; Text similarity; Fusion matrix; Descriptive annotations;All these keywords.
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