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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

Salton, Gerard; And Others – Information Processing & Management, 1996
Text similarity measurements are used to determine relationships between natural-language texts and text excerpts. The resulting linked hypertext maps can be broken down into text segments and themes used to identify different text types and structures, leading to improved information access and utilization. Examples are provided for text…
Descriptors: Access to Information, Automation, Hypermedia, Information Processing