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LDA for semisupervised topic modeling

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It should return a `list()` of topics.

There is a tidbit about this package in this now widely shared [blog post](https://www.hendrik-erz.de/post/a-rant#h4-implicit-type-conversions-will-screw-you). As you can see, it is under the "implicit type conversions". But after "a reader of...

I am trying to install seededlda, but this error happens, and I do not know how to fix it. I am using R version 4.3.3 and my SO is Ubuntu...

It can be called sigma. Total sigma could be used for measuring the model fit. https://github.com/koheiw/seededlda/blob/338509e7bebae69690aee24fc21dac7fc9bf2711/src/lda.h#L321

I would like to know if there is any implementation of the standard goodness-of-fit metrics for your `textmodel_lda` class. For instance, [here is a SO post](https://stackoverflow.com/questions/69817462/diagnostics-perplexity-loglik-etc-for-lda-topic-model-with-textmodel-seededl) which didn't get much...

The intially wrapped package _topicmodels_ offered the possibility of more refined exploration of topics in every document with `topicmodels::posterior(my_lda)$topics`. Could this be made available for a result of `seededlda::textmodel_lda()` ?...

Configure script fails to find `opeTBB`, despite `RcppParallel` using it. ``` ---> Building R-seededlda xinstall: mkdir /opt/local/var/macports/build/_opt_PPCSnowLeopardPorts_R_R-seededlda/R-seededlda/work/build Executing: cd "/opt/local/var/macports/build/_opt_PPCSnowLeopardPorts_R_R-seededlda/R-seededlda/work/seededlda" && /opt/local/bin/R CMD INSTALL . --library=/opt/local/var/macports/build/_opt_PPCSnowLeopardPorts_R_R-seededlda/R-seededlda/work/build --install-tests * installing *source*...

Configure currently hardcodes prefix: ``` ac_default_prefix=/usr/local ``` This is wrong, since prefix value needs not be `/usr/local`, and will vary depending on OS, package manager (if one is used) and...

``` > require(quanteda) > dict dat corp toks dfmt seededlda:::tfm(dfmt, dict) Error: ndoc() only works on corpus, dfm, spacyr_parsed, tokens, tokens_xptr objects. ```