论文信息 - Probabilistic Topic Maps: Navigating through Large Text Collections

Probabilistic Topic Maps: Navigating through Large Text Collections

The visualization of large text databases and document collections is an important step towards more flexible and interactive types of information retrieval. This paper presents a probabilistic approach which combines a statistical, model-based analysis with a topological visualization principle. Our method can be utilized to derive topic maps which represent topical information by characteristic keyword distributions arranged in a two-dimensional spatial layout. Combined with multi-resolution techniques this provides a three-dimensional space for interactive information navigation in large text collections.

Thomas Hofmann | Thomas Hofmann

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