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| Content Analysis | 1 |
| Electronic Text | 1 |
| Information Processing | 1 |
| Information Retrieval | 1 |
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| Information Processing &… | 1 |
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| Li, Hang | 1 |
| Yamanishi, Kenji | 1 |
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Peer reviewedLi, 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
