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Overview of Probabilistic Latent Semantic Analysis by rozaseyoum26 is a document available to read on EtoBox.
Probabilistic Latent Semantic Analysis (pLSA) is a topic modeling technique developed to uncover the semantic structure of data by modeling co-occurrence information probabilistically. It operates through a latent variable model and matrix factorization, allowing for dimensionality reduction of large, sparse document-term matrices. pLSA has applications in various fields, including text processing and computer vision, where it can be used for tasks such as object categorization and image auto-annotation.
- Author
- rozaseyoum26
- Language
- EN