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Li, Hang; Yamanishi, Kenji – Information Processing & Management, 2003
Presents a single framework for conducting topic analysis that performs both topic identification and text segmentation. Key characteristics of the framework are: representing a topic by means of a cluster of words closely related to the topic; and employing a stochastic model, called a finite mixture model, to represent a word distribution within…
Descriptors: Content Analysis, Electronic Text, Information Processing, Information Retrieval

Bonzi, Susan; Liddy, Elizabeth – Information Processing and Management, 1989
Describes a study that supported two hypotheses concerning the use of anaphors in information retrieval: first, that anaphors tend to refer to integral concepts rather than peripheral concepts; second, that various term weighting schemes are affected differently by anaphoric resolution. The implications for the use of anaphoric resolution for…
Descriptors: Abstracts, Bibliographic Databases, Classification, Information Retrieval

Fedorowicz, Jane – Journal of the American Society for Information Science, 1982
Derives the underlying structure of the Zipf distribution, with emphasis on its application to word frequencies in the inverted files of automatic bibliographic systems, and applies the Zipfian model to the National Library of Medicine's MEDLINE database. An appendix on the Zipfian mean and 12 references are included. (Author/JL)
Descriptors: Citations (References), Databases, Information Retrieval, Mathematical Models

Bertot, John Carlo; McClure, Charles R.; Moen, William E.; Rubin, Jeffrey – Government Information Quarterly, 1997
One means of Web use evaluation is through analysis of server-generated log files. Various log file analysis techniques and issues are presented that are related to the interpretation of log file data. Study findings indicate a number of problems; recommendations and areas needing further research are outlined. (AEF)
Descriptors: Evaluation Methods, Information Retrieval, Navigation (Information Systems), Online Searching