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In short, the fellowship is exploring the creation of reduced-dimensional term-topic matrices for the HathiTrust collection. This includes the exploration of scalable methods for dimension reduction/topic modeling (LSA/pLSA, LDA, autoencoders) for the full collection.
Updates
12/14/2017
- BW access finally in place as of 12/12, can start transfer process but need to enable Globus endpoint for HT data.
- Allocation will be used for two different projects related to HTRC – faculty fellowship and ngramming of HT data. Will meet with both projects teams on 12/15 to coordinate.
12/6/2017
- BW allocation approved, still waiting for access.
- Will work with Capitanu on sync'ing initial data for evaluation of deeplearning4j by end of week.
- Will meet with Co-PI Bhattacharyya 12/11 about BW project we are piggy-backing on
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