Revisiting Probabilistic Latent Semantic Analysis: Extensions, Challenges and Insights

Revisiting Probabilistic Latent Semantic Analysis: Extensions, Challenges and Insights

This manuscript provides a comprehensive exploration of Probabilistic latent semantic analysis (PLSA), highlighting its strengths, drawbacks, and challenges. The PLSA, originally a tool for information retrieval, provides a probabilistic sense for a table of co-occurrences as a mixture of multinomia...

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Bibliographic Details
Main Authors: Pau Figuera, Pablo García Bringas
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Technologies
Subjects:
probabilistic latent semantic analysis
probabilistic semantic indexing
nonnegative matrix factorization
singular value decomposition
Online Access:https://www.mdpi.com/2227-7080/12/1/5

Internet

https://www.mdpi.com/2227-7080/12/1/5

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