Hierarchical bayesian modeling of topics in time-stamped documents
We consider the problem of inferring and modeling topics in a sequence of documents with known publication dates. The documents at a given time are each characterized by a topic and the topics are drawn from a mixture model. The proposed model infers the change in the topic mixture weights as a func...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 32(2010), 6 vom: 02. Juni, Seite 996-1011
|
|---|
| 1. Verfasser: |
Pruteanu-Malinici, Iulian
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Ren, Lu,
Paisley, John,
Wang, Eric,
Carin, Lawrence |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2010
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
|
|---|
| Schlagworte: | Journal Article |
|---|