Document (#4853)

Author

Wilbur, W.J.
Sirotkin, K.

Title

¬The automatic identification of stop words

Source

Journal of information science. 18(1992) no.1, S.45-55

Year

1992

Abstract

A stop word may be identified as a word that has the same likelihood of occuring in those documents not relevant to a query as in those documents relevant to the query. Shows how the concept of relevance may be replaced by the condition of being highly rated by a similarity measure. Thus it becomes possible to identify the stop words in a collection by automatical statistical testing. Describes the nature of the statistical test as it is realised with a vector retrieval methodology based on the cosine coefficient of document-document similarity. As an example, this technique is then applied to a large MEDLINE subset in the area of biotechnology

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