Comments (3)
sequences_tree.cpp in kw-collocations
is my prototype for this.
from quanteda.
Sounds good, but the sequence on cracking this ought to be first, make sure our calculations are correct, second, optimise. Hard to optimise if we are not first sure the non-optimised version is correct.
from quanteda.
That is not an optimize but purpose-built version for creating 2x2 tables for nested bingrams. It is not parallelized, so easy to work on.
from quanteda.
Related Issues (20)
- Deprecations and removals for 4.0
- UBSAN issues on CRAN from tbb HOT 2
- Incompatibility Issue with docnames Function in corpus and tokens dfm Objects HOT 4
- Erreur dans if (...length() && any(...names() == "Dimnames")) .Object@Dimnames <- fixupDN(.Object@Dimnames) : valeur manquante lร oรน TRUE / FALSE est requis HOT 1
- Performance issues with quanteda.textstats and tokens
- Extend support for dfm() to accept matrix/dataframe-like objects HOT 1
- Can't plot a comparison word cloud on grouped DFM with TF-IDF weighting HOT 4
- Chapter 3 Look Up Dictionary HOT 1
- error with tokens() in v4.0 HOT 1
- Warning in asMethod(object) : sparse->dense coercion: allocating vector of size 13.0 GiB HOT 4
- Build failure, Debian Linux: both CRAN and github master branch HOT 3
- 'meta' data is lost when using '+' to concatenate corpus objects HOT 6
- Spell checker HOT 1
- Word count: is performance an issue (compared to counting sentences/characters) ? HOT 14
- Error when combining more than 3 tokens objects
- Replace %>% with |>
- Documentation issues that need solving HOT 4
- Elapsted time seems wrong
- Inconsistency in what in oject meta
- Can't install (or load) Quanteda correctly HOT 7
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from quanteda.