While working with documents on the Internet, we commonly rely on search engines to retrieve information for us. Authors of the document often identify keyphrases which would make it easier for people to search conceptually and thematically rather than solely by keywords. In the absence of author identified keyphrases, professional human indexers do this job. With the ever growing number of documents on the Internet and with the rising popularity of digital libraries, it is almost impossible to have professional human indexers assign and manage keyphrases for all of the many documents on the Internet. For this reason, automatic indexers are built. However, accuracy and efficiency are important desirable characteristics of an automatic indexer. This study is a qualitative evaluation of the accuracy of the KEA automatic indexing algorithm. The results of the automatic indexer are compared with the indexing done by professional indexers using a controlled vocabulary
