Multiclass Text Classification Task

A Multiclass Text Classification Task is a text classification task that is a multiclass classification task.

• Context:
  • It can be solved by a Multiclass Text Classification System (that implements a Multiclass Text Classification Algorithm).
  • It can range from being a Heuristic Multiclass Text Classification Task to being a Data-Driven Multiclass Text Classification Task.
• Example(s):
  • a Large Multiclass Text Classification Task, such as the 18,000 MeSH headings.
  • a Text Item to Product Taxonomy Node Classification Task.
  • …
• Counter-Example(s):
  • a Binary Text Classification Task.
• See: Supervised Multiclass Text Classification Task, Multiclass Text Classification Algorithm.

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References

1999

• (McCallum, 1999) ⇒ Andrew McCallum. (1999). “Multi-label Text Classification with a Mixture Model Trained by EM.” In: AAAI 99 Workshop on Text Learning.
  • QUOTE: In many important document classification tasks, documents may each be associated with multiple class labels. … Text classification is the problem of assigning a text document into one or more topic categories or classes. In multiclass document classification, as distinguished from binary document classification, there are more than two classes. In multi-label classification each document may have more than one class label. For example, given classes N. America, S. America, Europe, Asia and Australia, a news article about U.S. troops in Bosnia may be labeled with both the N. America and Europe classes.

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