Supervised Text Classification System

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):
  • Supervised Document Classification System.
  • Supervised Sentence Classification System.
  • Supervised Word-Mention Classification System.
  • ...
• Counter-Example(s):
  • a Heuristic Text Classification System.
  • an Unsupervised Text Classification System.
• See: Supervised Classification System.

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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
  • http://www.nltk.org/book/ch06.html

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