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Science / Topic model / Latent Dirichlet allocation / CiteSeer / Citation / Latent semantic analysis / Probabilistic latent semantic analysis / Akaike information criterion / Author citation / Statistical natural language processing / Statistics / Information science


Context Sensitive Topic Models for Author Influence in Document Networks∗ Saurabh Kataria, Prasenjit Mitra, Cornelia Caragea and C. Lee Giles The Pennsylvania State University College Park, PA-16801 {skataria, pmitra,
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Document Date: 2012-10-11 18:54:51


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City

Park / Barcelona / IEICE / /

Country

Jordan / Spain / /

Currency

JPY / /

Facility

C. Lee Giles The Pennsylvania State University College / /

IndustryTerm

inference algorithm / expert search / citation network / dot product / social networks / online text data / document network / web-logs / asynchronous communications / document networks / /

Organization

The Pennsylvania State University / National Academy of Sciences / /

Person

Frank Ritter / Lise Gatoor / Cornelia Caragea / /

/

Position

Author / d. j. / cited author / Citation Author / author-topic model for authors and documents / ALT model / Author / expert/interested author / chosen author / document and cited author / and quantitatively explaining unseen text / latent dirichlet model for unsupervised entity resolution / Fixed-ACT Model Full-ACT Model Author / proposed Author / term and cited author / fixed length window Author / influential author / namely Author / Fixed-ACT Model Full-ACT Model Author Link Topic Model Author / /

PublishedMedium

Proceedings of the National Academy of Sciences / Journal of Machine Learning Research / /

Technology

artificial intelligence / inference algorithm / ATM / Machine Learning / 0.01443 algorithms / CAT / Words algorithms / /

URL

http /

SocialTag