Word Clustering Model

A Word Clustering Model is a clustering model for words.

• Context:
  • It can be solved by created by a Word Clustering System (that solves a word clustering task).
  • It can range from being a Closed Word Clustering Model to being an Open Word Clustering Model, depending on whether new words can be clustered.
  • It can range from being a Semantic Word Clustering Model to being a Syntactic Word Clustering Model (such as a morphological clustering)
• Example(s):
  • one based on 20 Newsgroups.
  • …
• Counter-Example(s):
  • a Phrase Clustering Model.
  • a Sentence Clustering Model.
  • a Document Clustering Model.
  • a Language Model.
  • a Next-Word Prediction Model.
• See: Word Cluster.

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