Provides implementation of the "Topic SCORE" algorithm that is proposed by Tracy Ke and Minzhe Wang. The singular value decomposition step is optimized through the usage of svds() function in 'RSpectra' package, on a 'dgRMatrix' sparse matrix. Also provides a columnwise error measure in the wordtopic matrix A, and an algorithm for recovering the topicdocument matrix W given A and D based on quadratic programming. The details about the techniques are explained in the paper "A new SVD approach to optimal topic estimation" by Tracy Ke and Minzhe Wang (2017) <arXiv:1704.07016>.
Package details 


Author  Minzhe Wang [aut, cre], Tracy Ke [aut] 
Maintainer  Minzhe Wang <minzhew@uchicago.edu> 
License  MIT + file LICENSE 
Version  0.0.1 
Package repository  View on CRAN 
Installation 
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