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| NEWS | R Documentation |
updated test standards after changes to koRpus' internal calculations of numer of lines in texts imported from TIF data frames
kRp.corpus: replaced prototype() in class definition with initialize
method
docTermMatrix(): results were wrong because numbers were assigned to
wrong columns; now fixed in koRpus
unit tests failed on windows due to an UTF-8 issue
the nested object class kRp.hierarchy was replaced by kRp.corpus; instead
of reproducing the file hierarchy in the object structure, kRp.corpus has
a flat structure with all texts in one single data frame; this data frame
was also renamed from "TT.res" into "tokens" the class name kRp.corpus
was used in tm.plugin.koRpus before and is just being recycled ;) kRp.corpus
inherits from class kRp.text as defined in the koRpus package
status messages are currently only shown when only one CPU is used
corpusTagged(): now called taggedText() as in koRpus
corpusDesc(): now called describe() as in koRpus
[, [<-, [[ and [[<- methods no longer apply to the summary data frame but tokens slot as in koRpus (where it applies to the TT.res slot)
show(): kRp.corpus objects now list all available features
read.corp.custom(): removed unused mc.cores argument
docTermMatrix(): by default behaves like most other methods and adds its
result to the input object rather than returning just the matrix; also,
the generic is now defined by the koRpus package and was removed, including
all of the actual function code
adjusted unit tests and vignette
updated all examples to use a new sample corpus (see added), to the benefit that many "\dontrun{}" cases could be removed
readCorpus(): the hierarchy levels of a text corpus can now be assumed
directly from the directory structure by setting "hierarchy=TRUE"
corpusHasFeatures(), corpusHasFeatures()<-, corpusFeatures(),
corpusFeatures()<-, corpusHierarchy(), corpusHierarchy()<-, corpusCorpFreq(),
corpusCorpFreq()<-, diffText(), diffText()<-, originalText(): new getter/setter
methods for kRp.corpus objects
split_by_doc_id(): new method transforms a kRp.corpus object into a list
of kRp.text objects
corpusDocTermMatrix(): new method to get/set the sparse document term
matrix in kRp.corpus objects
[[/[[<-: gained new argument "doc_id" to limit the scope to particular
documents
describe()/describe()<-: now support filtering by doc_id
new sample corpus for use in examples
removed all classes and methods dealing with kRp.hierarchy
removed deprecated methods of the pre-kRp.hierarchy era
removed generic of tif_as_tokens_df() as it was moved to the koRpus
package
readCorpus(): solved a cryptic warning when more than one text was
tokenized
docTermMatrix(): new method to generate document-term matrices, either
with absolute frequencies or tf-idf values
query(): new method, extending the generic of koRpus >= 0.12-1
filterByClass(): new method, extending the generic of koRpus >= 0.12-1
jumbleWords(): new method, extending the generic of koRpus >= 0.12-1
clozeDelete(): new method, extending the generic of koRpus >= 0.12-1
cTest(): new method, extending the generic of koRpus >= 0.12-1
textTransform(): new method, extending the generic of koRpus >= 0.12-1
show(): new method for objects of class kRp.hierarchy
depends on koRpus >= 0.12-1 now
depends on the Matrix package now (for docTermMatrix())
adjusted test standards to include the additional POS tags from koRpus >= 0.12-1
readCorpus(), kRpSource(): added missing imports from packages tm, NLP
and parallel
readCorpus(): fixed status message formatting
corpusTm(): removed useless "level" argument and corrected the output
readCorpus(): removed unused "level" argument
corpusFiles(): now also works with flat hierarchy objects
readCorpus(): can now also import data frames in TIF format, including
support for hierarchal categories
tif_as_corpus_df(): new S4 method to transform a kRp.hierarchy object
into a TIF compliant data frame
readCorpus(): the tm corpora now include full hierarchy metadata
removed pre-hierarchy portions from internal function whatIsAvailable()
vignette: also includes info on readCorpus()
tests: adjusted test standards to new object class
kRp.hierarchy: new S4 class to replace kRp.sourcesCorpus and kRp.topicCorpus to allow more generic nesting of hierarchical levels
readCorpus(): new function to generate kRp.hierarchy objects recursively
many corpus*() getter functions can now filter by hierarchy level or category ID
removed all code regarding simpleCorpus(), sourcesCorpus() and
topicCorpus(), their object classes and methods; this is all handled much more
flexible by kRp.hierarchy and readCorpus() now
sourcesCorpus(): speak of "text" instead of "texts" if it's only one
adjusted package to support koRpus >= 0.11 and sylly, especially with
regards to summary(), hyphen(), and new class contructors
summary(): for more coherence with the koRpus package the "text" column
in the summary slot was renamed into "doc_id"
reaktanz.de supports HTTPS now, updated references
vignette is now in RMarkdown/HTML format; the SWeave/PDF version was dropped
hyphen()/lex.div()/readability(): 'quiet' is now TRUE by default
lex.div(): 'char' is now an emtpy string by default; computing all
characteristics was not a useful default for large text corpora
README.md
new [, [<-, [[ and [[<- methods added for corpus object classes
new methods tif_as_tokens_df() to export corpus objects as a single
data.frame in fully TIF compliant format
summary(): now also includes the total number of stopwords (if available)
new class object contructors kRp_corpus(), kRp_sourcesCorpus(), and
kRp_topicCorpus() can be used instead of new("kRp.corpus", ...) etc.
the arguments that simpleCorpus() was supposed to pipe to DirSource()
weren't used
the "paths" argument of topicCorpus() now expects a list, not a vector
using the parallel package to be able to use more CPU cores
new argument "format" for simpleCorpus(), sourceCorpus(), and
topicCorpus(), to be able to work with text objects directly, instead of files
using the S4 methods of koRpus 0.06-1 now, therefore renamed all methods
removing the *.corpus suffix (e.g., lex.div.corpus() is now lex.div())
renamed classes into kRp.corpus, kRp.sourcesCorpus and kRp.topicCorpus, and their generator functions accordingly
new methods read.corp.custom(), freq.analysis() and summary()
new getter/setter methods: corpusSources(), corpusTopics(), corpusFreq(),
corpusSummary()
first basic unit tests, using the testthat package
new option "summary" for lex.div() and readability(), to automatically
update the summary data.frames
first notes in a vignette
initial release
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.