Topic Modeling Task: Difference between revisions
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* <B>AKA:</B> [[Topic Discovery/Clustering/Detection]]. | * <B>AKA:</B> [[Topic Discovery/Clustering/Detection]]. | ||
* <B>Context:</B> | * <B>Context:</B> | ||
** [[Task Input| | ** [[Task Input|Input]]: [[corpus]]. | ||
** It can range from being a [[Heuristic Topic Modeling Task]] to being a [[Data-Driven Topic Modeling Task]], such as [[statistical topic modeling]]. | ** It can range from being a [[Heuristic Topic Modeling Task]] to being a [[Data-Driven Topic Modeling Task]], such as [[statistical topic modeling]]. | ||
** It can be solved by a [[Topic Modeling System]] (that implements a [[topic modeling algorithm]]). | ** It can be solved by a [[Topic Modeling System]] (that implements a [[topic modeling algorithm]]). | ||
Latest revision as of 05:40, 18 August 2023
A Topic Modeling Task is a concept modeling task that creates a topic model.
- AKA: Topic Discovery/Clustering/Detection.
- Context:
- Input: corpus.
- It can range from being a Heuristic Topic Modeling Task to being a Data-Driven Topic Modeling Task, such as statistical topic modeling.
- It can be solved by a Topic Modeling System (that implements a topic modeling algorithm).
- It can range from being an Unstructured Data Topic Modeling Task to being a Structured Topic Modeling Task.
- It can range from being a Non-Temporal Topic Modeling Task to being a Temporal Topic Modeling Task.
- It can be a Probabilistic Topic Modeling Task.
- Example(s):
- Counter-Example(s):
- See: Topic, Bag-of-Words Clustering.