Transcription of Probabilistic topic models - Columbia University
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Probabilistic topic models - Columbia University
Review articles For example, consider using themes Surveying a suite of algorithms that offer a to explore the complete history of the New York Times. At a broad level, some solution to managing large document archives. of the themes might correspond to the sections of the newspaper for- by David M. Blei eign policy, national affairs, sports. We could zoom in on a theme of in- Probabilistic terest, such as foreign policy, to reveal various aspects of it Chinese foreign policy, the conflict in the Middle East, the 's relationship with Russia. We topic models could then navigate through time to reveal how these specific themes have changed, tracking, for example, the changes in the conflict in the Middle East over the last 50 years. And, in all of this exploration, we would be pointed to the original articles relevant to the themes. The thematic structure would be a new kind of window through which to explore and digest the collection.
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