Supervised Text Classification System: Difference between revisions
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** [[Supervised Sentence Classification System]]. | ** [[Supervised Sentence Classification System]]. | ||
** [[Supervised Word-Mention Classification System]]. | ** [[Supervised Word-Mention Classification System]]. | ||
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* <B>Counter-Example(s):</B> | * <B>Counter-Example(s):</B> | ||
** a [[Heuristic Text Classification System]]. | ** a [[Heuristic Text Classification System]]. | ||
Revision as of 23:29, 23 March 2021
A Supervised Text Classification System is a data-driven text classification system that implements a supervised text classification algorithm to solve a supervised text classification task.
- Context:
- It can range from being a Fully-Supervised Text Classification System to being a Semi-Supervised Text Classification System.
- It can (typically) make use of a Text Item Featurizer.
- Example(s):
- Counter-Example(s):
- See: Supervised Classification System.
References
2009
- (Bird et al., 2009) ⇒ Steven Bird, Ewan Klein, and Edward Loper. (2009). “Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit. O'Reilly