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**Issue by [methodds](https://github.com/methodds)**
_Tuesday Mar 14, 2017 at 16:01 GMT_
_Originally opened as https://github.com/kbenoit/quanteda/issues/598_
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Hi,
as another suggestion for …
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Please use this issue to add your **testimonials**, **experiences**, **feedback**, etc. We would love to hear from you.
#### Updated consent notice 2017-10-06:
Note that in leaving a testimonial…
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Cloning remote repo takes very long time because the size is 500MB now...
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Hi,
I'd like to suggest to make the use of `textmodel_nb()` a little bit more convenient by adding a way to inspect the most important features (see [NLTK](http://www.nltk.org/book/ch06.html#gender…
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Following the discussion on #2102, I created the [dev-skipgram2](https://github.com/quanteda/quanteda/blob/dev-skipgram2/src/tokens_compound_mt.cpp) branch to add `skip` to `tokens_compound()`. I mana…
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Many thanks for developing quanteda! The fcm feature is fast and very useful. This is an enhancement proposal.
Trying to apply textplot_network() or as.network() to a large fcm triggers an error: "fc…
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### Error
This should parse out the filepaths, not filepaths _and_ filenames.
```r
> (rt3 list.files(path = paste0(DATA_DIR, "txt/movie_reviews/"), recursive = TRUE)
[1] "neg/neg_cv000_29416…
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- create vignette and introduce sample workflow with package and connect functions to each other
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Need to figure out how to apply a trained stm model to new data.
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The data storage is currently my Dropbox folder. It might be better to have a web server (or dedicated Dropbox account).