Kenneth Benoit
Kenneth Benoit
Great idea to put this into `quanteda_options`, then we don't have to change `tokens()`, now, or in the future while parallelism evolves more in R. By turning it off by...
Exactly - or even having the value be: "future" (for `future_lapply`), "parallel" (for `mclapply`), or "base" (for `lapply`). But it doesn't matter as much if we do it via options,...
Thanks! Good idea.
Thanks @jwijffels that's really useful. We want to achieve all of these, although 3 was not in my immediate plan (but I think the scheme could be extended to use...
Hi - Yes that is intended, although I can see how it could have been implemented differently. Think of window as a "width" where the default "document" size is the...
Thanks @odelmarcelle for explaining the use case. In earlier versions of what is now `quanteda.textstats::textstat_collocations()` we used a similar method for computing pmi for ordered, adjacent word co-occurrences. What @koheiw...
That's a good and quick ("kwic"? 😄) solution! But how would we deal with the nested dictionary issue, so that in d1, we don't match "not good" as "pattern =...
Fully agreed with @koheiw, thanks @odelmarcelle this is great. I have been slow in replying because I'm just getting over COVID but we will review this thoroughly soon.
Can you illustrate what you are trying to do, using a keyword and an analysis of some of the inaugural corpus texts, so that we can reproduce the issue?
Since dfm_tfidf() does not work on fcm objects, I can only think that you have created a dfm first to which you are applying `dfm_tfidf()` before creating the fcm. If...