quanteda.textmodels
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quanteda
Text scaling and classification models for quanteda
From CRAN, upon last version's submission: ``` Running ‘spelling.R’ Comparing ‘spelling.Rout’ to ‘spelling.Rout.save’ ...5c5 < NULL --- > All Done! ``` to be fixed in your master sources now so...
Add the one-dimensional and two-dimensional negative binomial model, as well as the two-dimensional Poisson model
Hello, I think there is an error in the way the LSA is computed in `textmodel_lsa.R`. After the svd decomposition, the `v` singular vectors are usually weighed with the `k`...
I'm interested in very basic document clustering. Is there a plan to include document clustering in quanteda - or is this considered outside the scope of the (so excellent) package?...
## Requested feature I'm working on a corpus of short documents. Recent developments in examining short texts like from twitter, etc, have been documented. I'm including two files. [X Cheng...
The idea would be to create a function `crossval(x, ...)` that takes a machine learning model as an input and allows users to evaluate the model's performance across k splits...
Is there a maximum number of accepted factor levels when training naive bayes? I just only got missing values returned on a multiclass classification problem with 37 factor levels and...
I'm under the impression that NBSVM works better than naive bayes. https://github.com/fastforwardlabs/nbsvm Have you thought about implementing it here as well?
``` r require(quanteda) #> Loading required package: quanteda #> Warning in .recacheSubclasses(def@className, def, env): undefined subclass #> "packedMatrix" of class "replValueSp"; definition not updated #> Warning in .recacheSubclasses(def@className, def, env):...
I keep getting errors as I try to download the packages. Can anyone help me with this?
