Obtaining fine-grinded topics? about rectr

[chainsawriot]

Make sure your corpus actually has many cross-lingual topics (i.e. topics exist in all languages). I am pretty sure the wiki corpus does not have 20. I don't know about your corpora.

In the paper, I have written that there is a possibility to converge to a solution with less than your desired k, when your corpus doesn't have enough variance to support a solution with a large k. GMM is pretty restrictive. You can't get fine-grinded topics if your input is not fine-grinded enough. (as always, GIGO).

You can access the actual matrix of a filtered dfm object by adding $dfm after it (e.g. filtered_dfm$dfm). You can then use it anywhere.

rectr/R/rectr.R

Line 182 in 649ac80

input_dfm$dfm <- svd_dfm[,i:max_d]

[justinchuntingho]

Thanks for pointing this out! My corpus is a sample from news artcile from US and a few european countries, and I think the lack of cross-lingual topics is the reason (they could have over 20 in total but I doubt if many of them are cross-lingual across all languages).