A Model for Word Clustering.

Thom, James A.; Zobel, Justin

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Peer reviewed

ERIC Number: EJ451904

Record Type: Journal

Publication Date: 1992

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-0002-8231

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A Model for Word Clustering.

Thom, James A.; Zobel, Justin

Journal of the American Society for Information Science, v43 n9 p616-27 Oct 1992

Discusses models for the distribution of words in text and proposes a new model based on clustering that can be used to estimate the probability that a document contains a particular word as well as the number of distinct words in a document. Zipf's law and the Poisson approximation are also discussed. (18 references) (LRW)

Descriptors: Cluster Grouping, Mathematical Formulas, Models, Probability, Regression (Statistics), Tables (Data), Word Frequency

Publication Type: Journal Articles; Reports - Research

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A

Author Affiliations: N/A