Topic Modeling for Makerspace Artifact Analysis

The Makerspace Librarian’s Sourcebook

Topic Modeling and Classification of Cyberspace Papers Using Text Mining

The global cyberspace networks provide individuals with platforms to can interact, exchange ideas, share information, provide social support, conduct business, create artistic media, play games, engage in political discussions, and many more. The term cyberspace has become a conventional means to describe anything associated with the Internet and the diverse Internet culture. In fact, cyberspac...

Analysis of Morphology in Topic Modeling

Topic models make strong assumptions about their data. In particular, different words are implicitly assumed to have different meanings: topic models are often used as human-interpretable dimensionality reductions and a proliferation of words with identical meanings would undermine the utility of the top-m word list representation of a topic. Though a number of authors have added preprocessing ...

Scalable Deep Poisson Factor Analysis for Topic Modeling

A new framework for topic modeling is developed, based on deep graphical models, where interactions between topics are inferred through deep latent binary hierarchies. The proposed multi-layer model employs a deep sigmoid belief network or restricted Boltzmann machine, the bottom binary layer of which selects topics for use in a Poisson factor analysis model. Under this setting, topics live on ...

Web User Search Pattern Analysis for Modeling Query Topic Changes

Web search engine logs are a good source of information for Web user modeling in which user session analysis is often incurred. However, studies on Web logs assume a user session to cover the complete time period of the data set. In the absence of any further information, we define a user session to be related to the user search topics. Viewing sessions in this way can help overcome problems du...