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Distributed Representations of Sentences and Documents

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Hi. I did not managed to reproduce the example graph in the readme : https://github.com/bnosac/doc2vec/blob/master/tools/example-viz.png the one that preceed : ```{r} library(doc2vec) library(word2vec) library(uwot) library(dbscan) data(be_parliament_2020, package = "doc2vec") x

add predict.top2vec as dbscan has now a predict.hdbscan method in version 1.1-9 from dbscan https://github.com/mhahsler/dbscan/commit/ef257e8c4280c1327e26275548fac08ce43d3756 https://github.com/mhahsler/dbscan/issues/32

part of the textplot pkg

opticskxi: OPTICS K-Xi Density-Based Clustering https://cran.r-project.org/web/packages/opticskxi/index.html

@pprablanc would you be interested in testing out this package providing document vectors?

Finally a solid doc2vec implementation in R. Many thanks! I have a relatively minor suggestion: I feel that the default parameter values might be underselling the power of this method....

At present, I do not see how to output more than the top 100 predicted hits on a model. For example: _``` model