Classification of Scientific Documents by Means of Self-Geneirated Groups Employing Free Language.

A study was undertaken to classify mechanically a document collection using the free-language words in the titles and abstracts of a corpus of 261 physics research papers. Using a clustering algorithm, results were obtained which closely duplicated the clusters obtained by previous experiments with citations. A brief comparison is made with a traditional manual classification system. It is shown that the mechanical procedure Is capable of achieving simultaneous average relevance and recall figures above 80%. [ABSTRACT FROM AUTHOR]