Fix encoding issue for non-ASCII characters to work with
fastmatch
Add functionality - perm_tester
for
Monte Carlo Permutation Tests for Model P-Values -
rancor_builder
creates random corpus based on provided term
probabilities - rancors_builder
creates multiple random
corpora]
Include additional tests, updated documentation and vignettes
Working on an encoding error in fastmatch
which shows
inconsistent behavior with non-ASCII characters. This dev version
provides a temporary fix.
doc_centrality
calculates four graph-based centrality
metrics using DTMsdoc_similarty
calculates four document similarity
measures using DTMsget_regions
, instead of mlpackseq_builder
creates a token-integer sequence
representationdtm_builder
includes an option to return a dense base R
matrixdtm_stopper
includes an option to remove based on a
terms rank (e.g., top 10), stopping based on count and proportion are
now two separate optionsfind_transformation()
to norm, center, and align
matricesfind_projection()
finds the projection matrix onto a
vectorfind_rejection()
finds the rejection matrix away from a
vectordtm_melter()
quickly turns a DTM into a triplet
dataframe (doc_id, term, count)get_centroid()
naming (limits to single word for
names)dtm_stopper()
to stop words by
document or term frequencies
stop_freq
was changed to
stop_termfreq
dtm_resampler()
to resample
proportion and fixed N lengthsNEWS.md
file to track changes to the
package.