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This survey paper provides a comprehensive overview of topic modeling algorithms, categorizing them into four main types: algebraic, fuzzy, probabilistic, and neural models. It discusses the characteristics, limitations, and applications of these models, evaluates them using proposed criteria, and highlights research gaps in the field. The paper aims to unify the evaluation metrics and stimulate further research in developing improved topic modeling techniques.

Author

220411100176

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EN