Package: TopicScore 0.0.1
TopicScore: The Topic SCORE Algorithm to Fit Topic Models
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 column-wise error measure in the word-topic matrix A, and an algorithm for recovering the topic-document 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>.
Authors:
TopicScore_0.0.1.tar.gz
TopicScore_0.0.1.zip(r-4.5)TopicScore_0.0.1.zip(r-4.4)TopicScore_0.0.1.zip(r-4.3)
TopicScore_0.0.1.tgz(r-4.4-any)TopicScore_0.0.1.tgz(r-4.3-any)
TopicScore_0.0.1.tar.gz(r-4.5-noble)TopicScore_0.0.1.tar.gz(r-4.4-noble)
TopicScore_0.0.1.tgz(r-4.4-emscripten)TopicScore_0.0.1.tgz(r-4.3-emscripten)
TopicScore.pdf |TopicScore.html✨
TopicScore/json (API)
| # Install 'TopicScore' in R: |
| install.packages('TopicScore', repos = c('https://minzhew.r-universe.dev', 'https://cloud.r-project.org')) |
- AP - Associated Press data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:17fc161e3f. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 13 2024 |
| R-4.5-win | OK | Nov 13 2024 |
| R-4.5-linux | OK | Nov 13 2024 |
| R-4.4-win | OK | Nov 13 2024 |
| R-4.4-mac | OK | Nov 13 2024 |
| R-4.3-win | OK | Nov 13 2024 |
| R-4.3-mac | OK | Nov 13 2024 |
Exports:error_Asimplex_disttopic_scorevertices_estW_from_AD
Dependencies:combinatlatticeMatrixquadprogRcppRcppEigenRSpectraslam
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Associated Press data | AP |
| The l_1 distance between two thin matrices up to a column permuation | error_A |
| The l_2 distance between a point and a simplex | simplex_dist |
| The Topic SCORE algorithm | topic_score |
| The vertex hunting in the Topic SCORE algorithm | vertices_est |
| Estimation of W from A and X | W_from_AD |
