Kniha Structured Topic Models Xuerui Wang

Structured Topic Models

Jointly Modeling Text with Its Accompanying Modalities

Autor: Xuerui Wang
Jazyk: Angličtina
Vazba: Brožovaná
Dostupnost: U nakladatele na objednávku
Odesíláme za 17-27 dnů
1 407
The abundance of textual data in the information age poses an immense challenge for us: how to perfo...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2009
Stránek
128
EAN
9783639205572
Enbook ID
06828530
Hmotnost
187
Rozměry
150 x 220 x 7

Kompletní popis

The abundance of textual data in the information age poses an immense challenge for us: how to perform large-scale inference to understand and utilize this overwhelming amount of information. We develop effective and efficient statistical topic models for massive text collections by taking care of extra information from other modalities in addition to the text itself. Text documents are not just text, for example, research papers have author information, email messages contain social sender-recipient links, legislative resolutions are recorded with votes, and so on. These kinds of additional information are naturally interleaved with text. Most of the previous work, however, pay attention to only one modality at a time, and ignore the others. We present a series of probabilistic topic models to show how we can bridge multiple modalities of information, in a united fashion. Interestingly, joint inference over multiple modalities leads to many findings that can not be discovered from just one modality alone, which are clear evidence that we can better understand and utilize massive text collections when additional modalities are modeled jointly with text.

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