Latent Semantic Analysis for User Modeling
✍ Scribed by Virginie Zampa; Benoît Lemaire
- Book ID
- 110317449
- Publisher
- Springer US
- Year
- 2002
- Tongue
- English
- Weight
- 102 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0925-9902
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## Abstract Latent Semantic Indexing (LSI), when applied to semantic space built on text collections, improves information retrieval, information filtering, and word sense disambiguation. A new dual probability model based on the similarity concepts is introduced to provide deeper understanding of
Latent semantic indexing (LSI) is an information retrieval technique based on the spectral analysis of the term-document matrix, whose empirical success had heretofore been without rigorous prediction and explanation. We prove that, under certain conditions, LSI does succeed in capturing the underly