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About A Survey of Topic Modeling in Text Mining
This document provides a summary of topic modeling methods in text mining. It discusses two main categories: 1) Methods of Topic Modeling, which includes Latent Semantic Analysis (LSA), Probabilistic Latent Semantic Analysis (PLSA), Latent Dirichlet Allocation (LDA), and Correlated Topic Model (CTM). 2) Topic Evolution Model, which considers how topics change over time and includes models like Topic Over Time and Dynamic Topic Models. The document provides a brief overview of each method and discusses their applications in text analysis and mining.
Detailed Information
| Author: | ['Ahmad Fajar'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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